Book Recommender System

Author: Andrew Tran

Blog Post Inspiration and Objectives

In this blog post, I was hoping to take on the classic beginner/intermediate challenge of creating a simple Machine Learning recommendation system, imitating ones used at Big-Tech companies such as Netflix. Additionally, with so many examples online about Machine Learning movie recommendation systems, I decided to look to establish this system on another area which has always piqued my interest: books. This time I would try to make my own customized RNN if possible, using TensorFlow. With that said, let’s try to analyze and create this system with some Machine Learning:

Data Preprocessing - Cleaning and Analytics

```{python}
# Import needed libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
color = sns.color_palette()
from sklearn.model_selection import train_test_split
from sklearn.metrics import average_precision_score, roc_auc_score, precision_recall_fscore_support, confusion_matrix, classification_report
from sklearn.metrics import mean_squared_error, pairwise_distances
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Embedding, Flatten, dot
from tensorflow.keras.optimizers import Adam
plt.style.use("fivethirtyeight")
```

First, we will read and display all of the initial datasets in our file system for this blog post, downloaded from Kaggle. These datasets contains loads of valuable information such as Book-ISBNS, user-ids for the (anonymous) users/reviewers, book ratings, etc.

```{python}
# Reading and displaying all of the initial datasets
books_df = pd.read_csv("datasets/Books.csv")
ratings_df = pd.read_csv("datasets/Ratings.csv")
users_df = pd.read_csv("datasets/Users.csv")
```
C:\Users\andre\AppData\Local\Temp\ipykernel_3568\2730945584.py:2: DtypeWarning: Columns (3) have mixed types. Specify dtype option on import or set low_memory=False.
  books_df = pd.read_csv("datasets/Books.csv")

For clarity on the constraints and parameters of the working datasets, I went to find high-level exploratory statistics on all of the datasets: shape, information about all of the entries, etc.

```{python}
# Determining the shape of each of the initial datasets
books_df.shape, ratings_df.shape, users_df.shape
```
((271360, 8), (1149780, 3), (278858, 3))
```{python}
# Figuring out all of the columns (and their names) available for me to use in the dataset
books_df.columns, ratings_df.columns, users_df.columns
```
(Index(['ISBN', 'Book-Title', 'Book-Author', 'Year-Of-Publication', 'Publisher',
        'Image-URL-S', 'Image-URL-M', 'Image-URL-L'],
       dtype='object'),
 Index(['User-ID', 'ISBN', 'Book-Rating'], dtype='object'),
 Index(['User-ID', 'Location', 'Age'], dtype='object'))
```{python}
# Getting basic information about the all of the datasets
books_df.info(), ratings_df.info(), users_df.info()
```
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 271360 entries, 0 to 271359
Data columns (total 8 columns):
 #   Column               Non-Null Count   Dtype 
---  ------               --------------   ----- 
 0   ISBN                 271360 non-null  object
 1   Book-Title           271360 non-null  object
 2   Book-Author          271358 non-null  object
 3   Year-Of-Publication  271360 non-null  object
 4   Publisher            271358 non-null  object
 5   Image-URL-S          271360 non-null  object
 6   Image-URL-M          271360 non-null  object
 7   Image-URL-L          271357 non-null  object
dtypes: object(8)
memory usage: 16.6+ MB
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1149780 entries, 0 to 1149779
Data columns (total 3 columns):
 #   Column       Non-Null Count    Dtype 
---  ------       --------------    ----- 
 0   User-ID      1149780 non-null  int64 
 1   ISBN         1149780 non-null  object
 2   Book-Rating  1149780 non-null  int64 
dtypes: int64(2), object(1)
memory usage: 26.3+ MB
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 278858 entries, 0 to 278857
Data columns (total 3 columns):
 #   Column    Non-Null Count   Dtype  
---  ------    --------------   -----  
 0   User-ID   278858 non-null  int64  
 1   Location  278858 non-null  object 
 2   Age       168096 non-null  float64
dtypes: float64(1), int64(1), object(1)
memory usage: 6.4+ MB
(None, None, None)
```{python}
# Seeing each of the dataframes individually
books_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher Image-URL-S Image-URL-M Image-URL-L
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press http://images.amazon.com/images/P/0195153448.0... http://images.amazon.com/images/P/0195153448.0... http://images.amazon.com/images/P/0195153448.0...
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada http://images.amazon.com/images/P/0002005018.0... http://images.amazon.com/images/P/0002005018.0... http://images.amazon.com/images/P/0002005018.0...
2 0060973129 Decision in Normandy Carlo D'Este 1991 HarperPerennial http://images.amazon.com/images/P/0060973129.0... http://images.amazon.com/images/P/0060973129.0... http://images.amazon.com/images/P/0060973129.0...
3 0374157065 Flu: The Story of the Great Influenza Pandemic... Gina Bari Kolata 1999 Farrar Straus Giroux http://images.amazon.com/images/P/0374157065.0... http://images.amazon.com/images/P/0374157065.0... http://images.amazon.com/images/P/0374157065.0...
4 0393045218 The Mummies of Urumchi E. J. W. Barber 1999 W. W. Norton &amp; Company http://images.amazon.com/images/P/0393045218.0... http://images.amazon.com/images/P/0393045218.0... http://images.amazon.com/images/P/0393045218.0...
... ... ... ... ... ... ... ... ...
271355 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm) http://images.amazon.com/images/P/0440400988.0... http://images.amazon.com/images/P/0440400988.0... http://images.amazon.com/images/P/0440400988.0...
271356 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books http://images.amazon.com/images/P/0525447644.0... http://images.amazon.com/images/P/0525447644.0... http://images.amazon.com/images/P/0525447644.0...
271357 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco http://images.amazon.com/images/P/006008667X.0... http://images.amazon.com/images/P/006008667X.0... http://images.amazon.com/images/P/006008667X.0...
271358 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press http://images.amazon.com/images/P/0192126040.0... http://images.amazon.com/images/P/0192126040.0... http://images.amazon.com/images/P/0192126040.0...
271359 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages http://images.amazon.com/images/P/0767409752.0... http://images.amazon.com/images/P/0767409752.0... http://images.amazon.com/images/P/0767409752.0...

271360 rows × 8 columns

```{python}
ratings_df
```
User-ID ISBN Book-Rating
0 276725 034545104X 0
1 276726 0155061224 5
2 276727 0446520802 0
3 276729 052165615X 3
4 276729 0521795028 6
... ... ... ...
1149775 276704 1563526298 9
1149776 276706 0679447156 0
1149777 276709 0515107662 10
1149778 276721 0590442449 10
1149779 276723 05162443314 8

1149780 rows × 3 columns

```{python}
users_df
```
User-ID Location Age
0 1 nyc, new york, usa NaN
1 2 stockton, california, usa 18.0
2 3 moscow, yukon territory, russia NaN
3 4 porto, v.n.gaia, portugal 17.0
4 5 farnborough, hants, united kingdom NaN
... ... ... ...
278853 278854 portland, oregon, usa NaN
278854 278855 tacoma, washington, united kingdom 50.0
278855 278856 brampton, ontario, canada NaN
278856 278857 knoxville, tennessee, usa NaN
278857 278858 dublin, n/a, ireland NaN

278858 rows × 3 columns

Before I can pass the datasets over to the Machine Learning model for training and prediction, I had to consolidate all of my datasets into one so that it would be more easier and convenient to analyze.

```{python}
# Remove any unnecessary columns (before merging)
books_df.drop(columns=["Image-URL-S", "Image-URL-M", "Image-URL-L"], axis=1, inplace=True)
books_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada
2 0060973129 Decision in Normandy Carlo D'Este 1991 HarperPerennial
3 0374157065 Flu: The Story of the Great Influenza Pandemic... Gina Bari Kolata 1999 Farrar Straus Giroux
4 0393045218 The Mummies of Urumchi E. J. W. Barber 1999 W. W. Norton &amp; Company
... ... ... ... ... ...
271355 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm)
271356 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books
271357 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco
271358 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press
271359 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages

271360 rows × 5 columns

```{python}
# Merge the books and ratings dataframes to have one & inclusive dataframe, 
# combining all book, user, and rating information
df = pd.merge(books_df, ratings_df, on="ISBN")
df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher User-ID Book-Rating
0 0195153448 Classical Mythology Mark P. O. Morford 2002 Oxford University Press 2 0
1 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 8 5
2 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 11400 0
3 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 11676 8
4 0002005018 Clara Callan Richard Bruce Wright 2001 HarperFlamingo Canada 41385 0
... ... ... ... ... ... ... ...
1031131 0440400988 There's a Bat in Bunk Five Paula Danziger 1988 Random House Childrens Pub (Mm) 276463 7
1031132 0525447644 From One to One Hundred Teri Sloat 1991 Dutton Books 276579 4
1031133 006008667X Lily Dale : The True Story of the Town that Ta... Christine Wicker 2004 HarperSanFrancisco 276680 0
1031134 0192126040 Republic (World's Classics) Plato 1996 Oxford University Press 276680 0
1031135 0767409752 A Guided Tour of Rene Descartes' Meditations o... Christopher Biffle 2000 McGraw-Hill Humanities/Social Sciences/Languages 276680 0

1031136 rows × 7 columns

Additionally, before handing my combined Book dataset over for Machine Learning training and prediction, I need to clean the data prior to the analysis stage: removing duplicates, deleting null/NaN values, fixing types of columns, filling invalid values with suitable alternatives, etc. Fortunately, the data inherited from Kaggle here is in a preferable format already, so there does not need to be extensive amount of data cleaning here.

```{python}
# Figuring out the number of duplicated elements in the dataset (could be 
# problematic if not resolved)
df.duplicated().sum()
```
0
```{python}
# Figuring out the number of 'null'/'NaN' elements in the dataset (if NaN 
# filling is needed or not)
(df.isnull().sum() / df.shape[0]) * 100
```
ISBN                   0.000000
Book-Title             0.000000
Book-Author            0.000194
Year-Of-Publication    0.000000
Publisher              0.000194
User-ID                0.000000
Book-Rating            0.000000
dtype: float64
```{python}
# Fill unknown and unformatted values with proper ones for readability and to
# improve data accuracy and relevance 
df["Book-Author"].fillna("N/A", inplace=True)
df["Publisher"].fillna("N/A", inplace=True)

df["Year-Of-Publication"] = df["Year-Of-Publication"].astype(str)
df["Year-Of-Publication"] = df["Year-Of-Publication"].map(lambda entry: entry if entry.isnumeric() else df["Year-Of-Publication"].mode()[0])
df["Year-Of-Publication"] = df["Year-Of-Publication"].astype("int64")

# Change types of columns to allow an easier time to parse
df["Book-Title"] = df["Book-Title"].astype(str)
df["Book-Author"] = df["Book-Author"].astype(str)
df["ISBN"] = df["ISBN"].astype(str)
df["Publisher"] = df["Publisher"].astype(str)

# Getting basic information about the dataset (once again)
df.info()
```
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1031136 entries, 0 to 1031135
Data columns (total 7 columns):
 #   Column               Non-Null Count    Dtype 
---  ------               --------------    ----- 
 0   ISBN                 1031136 non-null  object
 1   Book-Title           1031136 non-null  object
 2   Book-Author          1031136 non-null  object
 3   Year-Of-Publication  1031136 non-null  int64 
 4   Publisher            1031136 non-null  object
 5   User-ID              1031136 non-null  int64 
 6   Book-Rating          1031136 non-null  int64 
dtypes: int64(3), object(4)
memory usage: 55.1+ MB

As defined in the code snippet below, with subsequent modifications and copies of the working dataset, there will be a need to quantify the status and real-life/applicable statistics out to you, the user. Thus, I designed a function to report needed information called report_basic_stats. From time to time, there will be calls to this function, giving up-to-date information about the state of the dataset currently modified.

```{python}
def report_basic_stats(dataframe: pd.DataFrame, type: str):
    global n_users, n_books
    n_users = dataframe["User-ID"].unique().shape[0]
    n_books = dataframe["ISBN"].unique().shape[0]
    n_ratings = len(dataframe["Book-Rating"])
    avg_num_ratings_per_user = n_ratings / n_users
    
    print("Number of Unique Book Users in This Dataset ({}):".format(type), n_users)
    print("Number of Unique Book Titles / ISBNs in This Dataset ({}):".format(type), n_books)
    print("Number of Total Ratings in This Dataset ({}):".format(type), n_ratings)
    print("Average Number of Book Ratings per User in This Dataset ({}):".format(type), round(avg_num_ratings_per_user, 3))
```

Alright, let’s begin by looking at the up-to-date information about the state of the original dataset using the report_basic_stats function:

```{python}
report_basic_stats(df, "Regular")
```
Number of Unique Book Users in This Dataset (Regular): 92106
Number of Unique Book Titles / ISBNs in This Dataset (Regular): 270151
Number of Total Ratings in This Dataset (Regular): 1031136
Average Number of Book Ratings per User in This Dataset (Regular): 11.195

At this point, the data has been cleaned. However, there are some modifications that I have considered in this case such as limiting the amount of Book-ISBNs and Book-Users displayed (up to 3000 in this case). This is intentional to keep the dataset from becoming too long to visualize and compute within the Machine Learning model.

```{python}
# Filter the first 3000 Book-ISBNs in Dataset
book_isbn_index = df.groupby("ISBN").count().sort_values(by="Book-Rating", ascending=False)[0:3000].index
df2 = df[df["ISBN"].isin(book_isbn_index)]
df2.count()
```
ISBN                   271456
Book-Title             271456
Book-Author            271456
Year-Of-Publication    271456
Publisher              271456
User-ID                271456
Book-Rating            271456
dtype: int64
```{python}
# Filter the first 3000 Book-Users in Dataset
book_users_index = df2.groupby("User-ID").count().sort_values(by="Book-Rating", ascending=False)[0:3000].index
df3 = df2[df2["User-ID"].isin(book_users_index)]
df3.count()
```
ISBN                   172071
Book-Title             172071
Book-Author            172071
Year-Of-Publication    172071
Publisher              172071
User-ID                172071
Book-Rating            172071
dtype: int64

Since I had to cut down to 3000 Book-entries maximum in the dataset, I had to reindex the unique Book-ISBNs and Book User-IDs to account for this filtering. Thus, I removed all entries that were not part of this subset to maintain data consistency and integrity.

```{python}
# Make a separate dataframe for unique Book-ISBNs
book_isbns = df3["ISBN"].unique()
isbn_df = pd.DataFrame(data=book_isbns, columns=["Original-ISBN"])
isbn_df["New-ISBN"] = isbn_df.index + 1
```
```{python}
# Make a separate dataframe for unique Book-Users (indicated by their IDs)
book_users = df3["User-ID"].unique()
users_df = pd.DataFrame(data=book_users, columns=["Original-User-ID"])
users_df["New-User-ID"] = users_df.index + 1
```
```{python}
# Merge in new indices for Book-ISBN and Book-User-IDs that are modified
# from 1 to 3000 (accounts for scaling down of data)
cleaned_df = df3.merge(isbn_df, left_on="ISBN", right_on="Original-ISBN")
cleaned_df.drop(columns=["Original-ISBN"], axis=1, inplace=True)

cleaned_df = cleaned_df.merge(users_df, left_on="User-ID", right_on="Original-User-ID")
cleaned_df.drop(columns=["Original-User-ID"], axis=1, inplace=True)
cleaned_df
```
ISBN Book-Title Book-Author Year-Of-Publication Publisher User-ID Book-Rating New-ISBN New-User-ID
0 0440234743 The Testament John Grisham 1999 Dell 277478 0 1 1
1 0971880107 Wild Animus Rich Shapero 2004 Too Far 277478 0 3 1
2 0671888587 I'll Be Seeing You Mary Higgins Clark 1994 Pocket 277478 0 9 1
3 0440225701 The Street Lawyer JOHN GRISHAM 1999 Dell 277478 0 15 1
4 0786868716 The Five People You Meet in Heaven Mitch Albom 2003 Hyperion 277478 0 30 1
... ... ... ... ... ... ... ... ... ...
172066 0767908171 A Short History of Nearly Everything Bill Bryson 2003 Broadway 70999 0 2798 3000
172067 0385234104 Fatherhood Bill Cosby 1986 Bantam Dell Pub Group 70999 0 2857 3000
172068 0425190641 Fire Ice: A Novel from the Numa Files (Kurt Au... Clive Cussler 2003 Berkley Publishing Group 70999 0 2874 3000
172069 0553584375 No One to Trust IRIS JOHANSEN 2003 Bantam 70999 0 2880 3000
172070 044023512X City of Light Lauren Belfer 2000 Island 70999 0 2941 3000

172071 rows × 9 columns

Here, I am trying to offer some visualizations of the cleaned dataset before we pass it over for Machine Learning training and prediction. The first visualization (below) describes about the total number of reviews given to each of the 3000 books in the dataset. Arbitrarily though, I set a maximum of 30 book titles visualized to save space as my editor could not plot more than that without it become illegible. The strategy there was grouping by Book-Titles and and counting number of Book-Rating entries for that particular Book entry.

```{python}
# Make a copy of the cleaned dataframe
cleaned_df_condensed_trends = cleaned_df.copy()

# Drop unnecessary columns
cleaned_df_condensed_trends.drop(labels=["ISBN", 
                                         "Book-Author",
                                         "Year-Of-Publication",
                                         "Publisher",
                                         "User-ID",
                                         "New-ISBN",
                                         "New-User-ID"], axis=1, inplace=True)

# Used grouping and counting to gather book-review counts for each indexed title
cleaned_df_condensed_trends_copy = cleaned_df_condensed_trends.copy()
cleaned_df_condensed_trends = pd.DataFrame(cleaned_df_condensed_trends_copy
                                           .groupby("Book-Title")["Book-Rating"]
                                           .mean())
cleaned_df_condensed_trends["Total-Num-Of-Ratings"] = pd.DataFrame(cleaned_df_condensed_trends_copy
                                                                   .groupby("Book-Title")["Book-Rating"]
                                                                   .count())
cleaned_df_condensed_trends.head(10)
```
Book-Rating Total-Num-Of-Ratings
Book-Title
10 Lb. Penalty 1.911765 34
16 Lighthouse Road 1.276596 47
1984 3.817460 126
1st to Die: A Novel 2.893891 311
2010: Odyssey Two 2.086207 58
204 Rosewood Lane 1.581818 55
2061: Odyssey Three 3.133333 30
24 Hours 1.454545 44
2nd Chance 2.704167 240
311 Pelican Court 2.435897 39 
```{python}
# Creating a bar graph describing number of reviews for first 30 books
plt.figure(figsize=(10, 8))
ax=plt.subplot()
ax.bar(cleaned_df_condensed_trends.head(30).index,
       cleaned_df_condensed_trends["Total-Num-Of-Ratings"].head(30), 
       color="b")
ax.set_xticklabels(cleaned_df_condensed_trends.index,
                   rotation=30,
                   fontsize="12",
                   horizontalalignment="right")
ax.set_title("Total Number of Reviews For Each Book")
plt.show()
```
C:\Users\andre\AppData\Local\Temp\ipykernel_3568\177655821.py:7: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.
  ax.set_xticklabels(cleaned_df_condensed_trends.index,

Just to give an interesting statistic, I decided to make another copy of the working dataset, grouped by Book-Title but sorted by Book-Rating. This was intentional to output and report the most-popular (Top-50 rated books) and least-populat (Bottom-50 rated books) on average, which is an important piece of data for the user to know.

```{python}
# Calculate mean rating of all books (copy of cleaned dataframe)
# Output the Top-50 and Bottom-50 rated books on average
cleaned_df_sorted_mean_rating = cleaned_df.copy().groupby("Book-Title")["Book-Rating"].mean().sort_values(ascending=False)
print("--------- Sorted by Mean On Average: ---------\n")
print("--------- TOP 50: ---------\n", cleaned_df_sorted_mean_rating.head(50))
print("\n\n--------- BOTTOM 50: ---------\n", cleaned_df_sorted_mean_rating.tail(50))
```
--------- Sorted by Mean On Average: ---------

--------- TOP 50: ---------
 Book-Title
Generation Golf. Eine Inspektion                                                                          9.000000
Novocento, Un Monologo                                                                                    9.000000
Io Non Ho Paura                                                                                           8.000000
Herr Lehmann.                                                                                             7.500000
L'Etranger (Collection Folio, 2)                                                                          6.777778
Griffin &amp; Sabine: An Extraordinary Correspondence                                                     6.000000
The Darwin Awards: Evolution in Action                                                                    5.653846
Harry Potter and the Sorcerer's Stone (Book 1)                                                            5.651613
My Sister's Keeper : A Novel (Picoult, Jodi)                                                              5.515152
Harry Potter and the Prisoner of Azkaban (Book 3)                                                         5.465116
Harry Potter and the Goblet of Fire (Book 4)                                                              5.445415
The Stand (The Complete and Uncut Edition)                                                                5.433333
Balzac and the Little Chinese Seamstress                                                                  5.379310
Harry Potter and the Chamber of Secrets Postcard Book                                                     5.363636
The Lone Ranger and Tonto Fistfight in Heaven                                                             5.333333
Harry Potter and the Order of the Phoenix (Book 5)                                                        5.277228
Hamlet                                                                                                    5.241379
The Lunatic Cafe (Anita Blake Vampire Hunter (Paperback))                                                 5.230769
The Little Prince                                                                                         5.210526
Wiener Dog Art                                                                                            5.157895
Weirdos From Another Planet!                                                                              5.147059
Killing Dance (Anita Blake Vampire Hunter (Paperback))                                                    5.142857
The Secret Garden                                                                                         5.133333
Wicca: A Guide for the Solitary Practitioner                                                              5.120000
Sabine's Notebook: In Which the Extraordinary Correspondence of Griffin &amp; Sabine Continues            5.105263
The Metamorphosis (Bantam Classics)                                                                       5.062500
The Grapes of Wrath (20th Century Classics)                                                               5.031250
The Lion, the Witch, and the Wardrobe (The Chronicles of Narnia, Book 2)                                  4.978723
Green Eggs and Ham (I Can Read It All by Myself Beginner Books)                                           4.931034
Harry Potter and the Chamber of Secrets (Book 2)                                                          4.924092
The Cat in the Hat                                                                                        4.903226
GREAT GATSBY (REISSUE)                                                                                    4.800000
Ender's Game (Ender Wiggins Saga (Paperback))                                                             4.793478
The Vagina Monologues: The V-Day Edition                                                                  4.793103
The Godfather                                                                                             4.783784
All I Need to Know I Learned from My Cat                                                                  4.769231
Hyperion                                                                                                  4.764706
Sister of My Heart                                                                                        4.743590
Sense and Sensibility (Penguin Popular Classics)                                                          4.733333
On the Banks of Plum Creek                                                                                4.718750
Rich Dad, Poor Dad: What the Rich Teach Their Kids About Money--That the Poor and Middle Class Do Not!    4.717949
The Lord of the Rings (Movie Art Cover)                                                                   4.714286
Needful Things: The Last Castle Rock Story                                                                4.681818
The Jungle (Bantam Classics)                                                                              4.652174
Memoirs of a Geisha                                                                                       4.638298
Pride &amp; Prejudice (Wordsworth Classics)                                                               4.631579
The Spirit Catches You and You Fall Down                                                                  4.600000
Anthem                                                                                                    4.590909
JITTERBUG PERFUME                                                                                         4.571429
The Curious Incident of the Dog in the Night-Time (Vintage Contemporaries)                                4.571429
Name: Book-Rating, dtype: float64


--------- BOTTOM 50: ---------
 Book-Title
Silent Honor                                                                                                               0.735294
Vernon God Little: A 21st Century Comedy in the Presence of Death                                                          0.727273
Ruthless.Com (Tom Clancy's Power Plays (Paperback))                                                                        0.725806
The Blooding                                                                                                               0.722222
Where You Belong                                                                                                           0.720930
The Matarese Countdown                                                                                                     0.717949
Pleading Guilty                                                                                                            0.716049
Family Pictures                                                                                                            0.714286
Fortune's Hand                                                                                                             0.708333
Passion's Promise                                                                                                          0.705882
Ssn                                                                                                                        0.700000
The Icarus Agenda                                                                                                          0.700000
Legacy of Silence                                                                                                          0.696970
Confessions of a Sociopathic Social Climber : The Katya Livingston Chronicles (Katya Livingston Chronicles (Hardcover))    0.695652
The Blue Last: A Richard Jury Mystery (Richard Jury Mysteries (Paperback))                                                 0.695652
Subterranean                                                                                                               0.695652
The Legend of Bagger Vance                                                                                                 0.692308
State of Siege (Tom Clancy's Op-Center, 6)                                                                                 0.680851
Man From St Petersburg                                                                                                     0.659091
Master of the Game                                                                                                         0.658537
Rosehaven                                                                                                                  0.656250
The X-Files: Goblins                                                                                                       0.640000
Welcome to Dead House (Goosebumps, No 1)                                                                                   0.638889
Ground Zero and Beyond                                                                                                     0.629032
Los Alamos: A Novel                                                                                                        0.620690
Treasures                                                                                                                  0.617647
Whirlwind                                                                                                                  0.606061
If Tomorrow Comes                                                                                                          0.605263
WEB OF DREAMS (Casteel Saga (Paperback))                                                                                   0.604651
Starting Over                                                                                                              0.600000
Hurricane Bay                                                                                                              0.600000
Montana                                                                                                                    0.595238
Wild Animus                                                                                                                0.582865
People of the River (The First North Americans series, Book 4)                                                             0.571429
Honor Among Thieves                                                                                                        0.568182
The Cat Who Went into the Closet                                                                                           0.566038
After the Fire                                                                                                             0.564103
Yesterday                                                                                                                  0.531250
Monster Blood (Goosebumps, No 3)                                                                                           0.466667
Women in His Life                                                                                                          0.452381
Long, Lean, and Lethal                                                                                                     0.451613
Dating Game                                                                                                                0.400000
Billy Straight: A Novel                                                                                                    0.375000
McNally's Luck (Archy McNally Novels (Paperback))                                                                          0.365854
Final Flight                                                                                                               0.333333
Stay Out of the Basement (Goosebumps, No 2)                                                                                0.285714
Say Cheese and Die! (Goosebumps, No 4)                                                                                     0.275862
Long Time No See                                                                                                           0.161290
The Sculptress                                                                                                             0.000000
Der Vorleser                                                                                                               0.000000
Name: Book-Rating, dtype: float64

The second visualization gathers all of the numerical book-ratings across all books, contrasting how book reviewers score and evaluate these literature text sources generally. With this ranged data, it would seem most appropriate to display this visualization of statistical data within a histogram.

```{python}
sns.histplot(pd.DataFrame(cleaned_df_sorted_mean_rating)["Book-Rating"], color="r")
plt.title("Histogram - Distribution of Book-Ratings Across All Books in the Dataset")
plt.show()
```

As compared to earlier, let’s look at the up-to-date information about the state of the reduced (in-size) dataset using the report_basic_stats function.

```{python}
report_basic_stats(cleaned_df, "Reduced")
```
Number of Unique Book Users in This Dataset (Reduced): 3000
Number of Unique Book Titles / ISBNs in This Dataset (Reduced): 3000
Number of Total Ratings in This Dataset (Reduced): 172071
Average Number of Book Ratings per User in This Dataset (Reduced): 57.357

Machine Learning - Model Training and Evaluation

Great, now we are onto the Machine Learning part of the blog post!

Since the dataframe is now properly cleaned by this point, I had split the respective dataframe into the train, test, and validation datasets for the Machine Learning model with 90% going to the training dataset, the next 5% going to the validation dataset, and the last 5% going to the test dataset. Fortunately, because order of the data sequentially does not matter here, I was able to utilize the train_test_split function for shuffling and randomization, making the future-generated Machine Learning model more unpredictable but also more objective in its returned model results.

```{python}
# Configuring the Machine Learning Tensorflow Model by splitting the data 90% for testing,
# 5% for validation, and 5% for testing
X_train, X_test = train_test_split(cleaned_df, test_size=0.10, shuffle=True, random_state=2018)
X_val, X_test = train_test_split(X_test, test_size=0.50, shuffle=True, random_state=2018)
```
```{python}
# Outputting the shape of the new datasets
print("Shape of Training Set:", X_train.shape, "and Size of Training Set:", X_train.size)
print("Shape of Validation Set:", X_val.shape, "and Size of Validation Set:", X_val.size)
print("Shape of Test Set:", X_test.shape, "and Size of Testing Set:", X_test.size)
```
Shape of Training Set: (154863, 9) and Size of Training Set: 1393767
Shape of Validation Set: (8604, 9) and Size of Validation Set: 77436
Shape of Test Set: (8604, 9) and Size of Testing Set: 77436

As recommended online for any Collaborative-Filtering Recommendation Systems, one suggestion was to manually check and compute the mean_squared_error for ratings in your dataset. Thus, I defined a cost function that utilizes a sparse np.array starting with all 0’s of dimension-size n_users x n_books. The entries at specified locations would be converted non-zero by utilizing every Book-ISBN and Book User-ID position to generate a computed rating. The objective with calculating the mean_squared_error is to check how close estimates are to actual, observed values found within the given dataset.

```{python}
# Define my cost function (mean-squared error) for each dataset before the
# invokation of the Machine Learning algorithm
df_ratings_train = np.zeros((n_users, n_books))
for r in X_train.itertuples():
    df_ratings_train[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_train.shape)
df_ratings_train
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
```{python}
df_ratings_validation = np.zeros((n_users, n_books))
for r in X_val.itertuples():
    df_ratings_validation[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_validation.shape)
df_ratings_validation
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])
```{python}
df_ratings_test = np.zeros((n_users, n_books))
for r in X_test.itertuples():
    df_ratings_test[r[9] - 1, r[8] - 1] = r[7]
print(df_ratings_test.shape)
df_ratings_test
```
(3000, 3000)
array([[0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       ...,
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.],
       [0., 0., 0., ..., 0., 0., 0.]])

After the dataframes had the cost function computed for all, I made 2 matrices - one for the book user-similiarity and one for the book item-similarity. The idea here is to account for relative difference in the ratings between several distinct Book-Users and Book-ISBNs (items) themselves. Statically proven, relative differences in ratings give more insight than the absolute rating values. As described on the CambridgeSpark reference below, the rating system could be skewed by human biases such as solid consistent ratings for good vs. bad books through cover inspection, ratings based on topic preference or thoughts on the user’s views rather than objective review, etc.

Note that in the user-based similarity predictions that ratings as weights need to be normalized, so summation and average on top of a dot-product calcuation on the matrix is needed. This is to make sure the ratings stay within the expected range of 1.0 (worst) to 10.0 (best).

At the end of the code cell below, a comparison on the prediction matrices with the df_ratings_test matrix using dimensionality reduction and the mean_squared_error function the sklearn.metrics module is computed to quantify the closeness of estimates to the actual dataset (as described previously).

```{python}
# Computes the cosine similarity between all books using pairwise distancing
book_user_similarity = pairwise_distances(df_ratings_train, metric="cosine")
book_item_similarity = pairwise_distances(df_ratings_train.T, metric="cosine")

# Calculates prediction ratio for book_users and book_items
def perform_prediction_similarity_based(ratings, similiarity, pred_type="user"):
    if pred_type == "user":
        mean_user_rating = ratings.mean(axis=1)
        # You use np.newaxis so that the user_rating has the same format as ratings
        ratings_diff = (ratings - mean_user_rating[: np.newaxis])
        pred = mean_user_rating[: np.newaxis] + (similiarity.dot(ratings_diff) / np.array([np.abs(similiarity).sum(axis=1)]))
    elif pred_type == "item":
        pred = ratings.dot(similiarity) / np.array([np.abs(similiarity).sum(axis=1)])
    return pred

book_user_prediction = perform_prediction_similarity_based(df_ratings_train, book_user_similarity, pred_type="user")
book_item_prediction = perform_prediction_similarity_based(df_ratings_train, book_item_similarity, pred_type="item")

# Using predictions, calculates the mean squared error for each book_user and
# book_item
def compute_mean_square_error(predicted, actual):
    predicted = predicted[actual.nonzero()].flatten()
    actual = actual[actual.nonzero()].flatten()
    return mean_squared_error(predicted, actual)

print("For Collaborative Filtering:")
print(f"Book User-Based Mean-Square-Error: {compute_mean_square_error(book_user_prediction, df_ratings_test)}")
print(f"Book Item-Based Mean-Square-Error: {compute_mean_square_error(book_item_prediction, df_ratings_test)}")
```
For Collaborative Filtering:
Book User-Based Mean-Square-Error: 63.272539998623145
Book Item-Based Mean-Square-Error: 62.53832448961992

One other calculation that is beneficial to check with regards to these matrices includes matrix sparsity. With a less sparse matrix (through a lower-percentage return), I found that it was more beneficial to more efficient to use dense Machine Learning representations and algorithms optimized for dense data, which will done later while creating the Sequential layering of the model. After performing the calculations below, this seemed to be the case I was dealing with here.

```{python}
# Outputs the sparsity stats of a given dataframe
def print_sparsity_stats(df: pd.DataFrame, type: str):
    print("-------------- Sparsity Stats for {}: --------------".format(type))
    df_sparsity = float(len(df.nonzero()[0]))
    df_sparsity /= (df.shape[0] * df.shape[1])
    df_sparsity *= 100
    print('Sparsity: {:4.2f}%'.format(df_sparsity))
```
```{python}
# Check the sparsity stats of the ratings' train, validation, and test np.arrays
print_sparsity_stats(df_ratings_train, "Train")
print_sparsity_stats(df_ratings_validation, "Validation")
print_sparsity_stats(df_ratings_test, "Test")
```
-------------- Sparsity Stats for Train: --------------
Sparsity: 0.53%
-------------- Sparsity Stats for Validation: --------------
Sparsity: 0.03%
-------------- Sparsity Stats for Test: --------------
Sparsity: 0.03%

Now, I began to configure the Machine Learning model. We added Sequential layers of Input: incorporated an Input layer 1 by 1 because I only had 1 np.array as Input for Book-Users and another one as Input for Book-Items themselves, utilize a Embedding as recommended for each of the Input layers for models like these, and I followed up with flattening for dimensionality-reduction of both embeddings with input. Combining it with the dot-product of the two vector embeddings with input to make the initial model, we compiled it, utilzing the mean_square_error as our minimizing loss function, using the Adam optimizer, and comparing our trained model against our data with the mean_absolute_error metric. Lastly, I fitted our model, utilzing both of our X_train datasets and the Y_train dataset for fitting with validation from both of our X_val datasets and the Y_val dataset at 100 epochs.

```{python}
# Apply the Input, Embeddings, and Dot Product on the Model
n_latent_fact = 1
user_input = Input(shape=[1], name="User")
user_embedding = Embedding(input_dim=n_users + 1, 
                           output_dim=n_latent_fact, 
                           name="User_Embedding")(user_input)
user_vec = Flatten(name="Flatten_Users")(user_embedding)
book_input = Input(shape=[1], name="Book")
book_embedding = Embedding(input_dim=n_books + 1, 
                           output_dim=n_latent_fact, 
                           name="Book_Embedding")(book_input)
book_vec = Flatten(name="Flatten_Movies")(book_embedding)
dot_product = dot([book_vec, user_vec], axes=1)
model = Model(inputs=[user_input, book_input], outputs=dot_product)

# Compile the model and fit the datasets to it
model.compile(loss="mse",
              optimizer=Adam(learning_rate=0.001),
              metrics=["mean_absolute_error"])

book_rec_history = model.fit(x=(X_train["New-User-ID"], X_train["New-ISBN"]), 
                             y=X_train["Book-Rating"],
                             epochs=100,
                             validation_data=([X_val["New-User-ID"], X_val["New-ISBN"]], X_val["Book-Rating"]),
                             use_multiprocessing=True)
```
Epoch 1/100
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mean_absolute_error: 2.41624447/4840 [==========================>...] - ETA: 0s - loss: 19.9011 - mean_absolute_error: 2.41654499/4840 [==========================>...] - ETA: 0s - loss: 19.9175 - mean_absolute_error: 2.41864552/4840 [===========================>..] - ETA: 0s - loss: 19.9249 - mean_absolute_error: 2.41914606/4840 [===========================>..] - ETA: 0s - loss: 19.9304 - mean_absolute_error: 2.42024660/4840 [===========================>..] - ETA: 0s - loss: 19.9256 - mean_absolute_error: 2.42044714/4840 [============================>.] - ETA: 0s - loss: 19.9203 - mean_absolute_error: 2.41994767/4840 [============================>.] - ETA: 0s - loss: 19.9350 - mean_absolute_error: 2.42214822/4840 [============================>.] - ETA: 0s - loss: 19.9233 - mean_absolute_error: 2.42084840/4840 [==============================] - 5s 1ms/step - loss: 19.9291 - mean_absolute_error: 2.4216 - val_loss: 19.5555 - val_mean_absolute_error: 2.4064
Epoch 2/100
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Epoch 3/100
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mean_absolute_error: 2.48874408/4840 [==========================>...] - ETA: 0s - loss: 17.9617 - mean_absolute_error: 2.48964463/4840 [==========================>...] - ETA: 0s - loss: 17.9495 - mean_absolute_error: 2.48944519/4840 [===========================>..] - ETA: 0s - loss: 17.9460 - mean_absolute_error: 2.49034574/4840 [===========================>..] - ETA: 0s - loss: 17.9339 - mean_absolute_error: 2.49024630/4840 [===========================>..] - ETA: 0s - loss: 17.9170 - mean_absolute_error: 2.48964685/4840 [============================>.] - ETA: 0s - loss: 17.9117 - mean_absolute_error: 2.49024735/4840 [============================>.] - ETA: 0s - loss: 17.9104 - mean_absolute_error: 2.49104790/4840 [============================>.] - ETA: 0s - loss: 17.9214 - mean_absolute_error: 2.49344840/4840 [==============================] - 5s 1ms/step - loss: 17.9241 - mean_absolute_error: 2.4947 - val_loss: 17.1612 - val_mean_absolute_error: 2.5094
Epoch 4/100
   1/4840 [..............................] - ETA: 9s - loss: 13.8856 - mean_absolute_error: 2.2850  56/4840 [..............................] - ETA: 4s - loss: 16.7508 - mean_absolute_error: 2.4662 111/4840 [..............................] - ETA: 4s - loss: 16.8440 - mean_absolute_error: 2.4885 166/4840 [>.............................] - ETA: 4s - loss: 17.0970 - mean_absolute_error: 2.5193 220/4840 [>.............................] - ETA: 4s - loss: 16.8611 - mean_absolute_error: 2.4873 275/4840 [>.............................] - ETA: 4s - loss: 17.0550 - mean_absolute_error: 2.5137 330/4840 [=>............................] - ETA: 4s - loss: 17.0127 - mean_absolute_error: 2.5082 383/4840 [=>............................] - ETA: 4s - loss: 17.0761 - mean_absolute_error: 2.5143 438/4840 [=>............................] - ETA: 4s - loss: 17.1612 - mean_absolute_error: 2.5266 493/4840 [==>...........................] - ETA: 3s - loss: 17.2235 - mean_absolute_error: 2.5316 548/4840 [==>...........................] - 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ETA: 1s - loss: 16.8009 - mean_absolute_error: 2.52912878/4840 [================>.............] - ETA: 1s - loss: 16.7969 - mean_absolute_error: 2.53012931/4840 [=================>............] - ETA: 1s - loss: 16.7860 - mean_absolute_error: 2.53012986/4840 [=================>............] - ETA: 1s - loss: 16.7812 - mean_absolute_error: 2.53103040/4840 [=================>............] - ETA: 1s - loss: 16.7717 - mean_absolute_error: 2.53133094/4840 [==================>...........] - ETA: 1s - loss: 16.7418 - mean_absolute_error: 2.52883147/4840 [==================>...........] - ETA: 1s - loss: 16.7262 - mean_absolute_error: 2.52773201/4840 [==================>...........] - ETA: 1s - loss: 16.7122 - mean_absolute_error: 2.52703256/4840 [===================>..........] - ETA: 1s - loss: 16.7044 - mean_absolute_error: 2.52713311/4840 [===================>..........] - ETA: 1s - loss: 16.6971 - mean_absolute_error: 2.52753365/4840 [===================>..........] - ETA: 1s - loss: 16.6985 - mean_absolute_error: 2.52853417/4840 [====================>.........] - ETA: 1s - loss: 16.6981 - mean_absolute_error: 2.52943470/4840 [====================>.........] - ETA: 1s - loss: 16.6946 - mean_absolute_error: 2.53043524/4840 [====================>.........] - ETA: 1s - loss: 16.6810 - mean_absolute_error: 2.53053578/4840 [=====================>........] - ETA: 1s - loss: 16.6664 - mean_absolute_error: 2.52993633/4840 [=====================>........] - ETA: 1s - loss: 16.6661 - mean_absolute_error: 2.53163688/4840 [=====================>........] - ETA: 1s - loss: 16.6498 - mean_absolute_error: 2.53093741/4840 [======================>.......] - ETA: 1s - loss: 16.6442 - mean_absolute_error: 2.53123796/4840 [======================>.......] - ETA: 0s - loss: 16.6236 - mean_absolute_error: 2.52993850/4840 [======================>.......] - ETA: 0s - loss: 16.6135 - mean_absolute_error: 2.52953904/4840 [=======================>......] - ETA: 0s - loss: 16.6181 - mean_absolute_error: 2.53133955/4840 [=======================>......] - 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mean_absolute_error: 2.53564555/4840 [===========================>..] - ETA: 0s - loss: 16.5583 - mean_absolute_error: 2.53634609/4840 [===========================>..] - ETA: 0s - loss: 16.5498 - mean_absolute_error: 2.53634663/4840 [===========================>..] - ETA: 0s - loss: 16.5440 - mean_absolute_error: 2.53684719/4840 [============================>.] - ETA: 0s - loss: 16.5371 - mean_absolute_error: 2.53694774/4840 [============================>.] - ETA: 0s - loss: 16.5386 - mean_absolute_error: 2.53814830/4840 [============================>.] - ETA: 0s - loss: 16.5404 - mean_absolute_error: 2.53944840/4840 [==============================] - 5s 972us/step - loss: 16.5419 - mean_absolute_error: 2.5397 - val_loss: 15.9623 - val_mean_absolute_error: 2.5608
Epoch 5/100
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mean_absolute_error: 2.56974575/4840 [===========================>..] - ETA: 0s - loss: 15.3283 - mean_absolute_error: 2.56934631/4840 [===========================>..] - ETA: 0s - loss: 15.3191 - mean_absolute_error: 2.56934685/4840 [============================>.] - ETA: 0s - loss: 15.3190 - mean_absolute_error: 2.57024741/4840 [============================>.] - ETA: 0s - loss: 15.3046 - mean_absolute_error: 2.56974796/4840 [============================>.] - ETA: 0s - loss: 15.3110 - mean_absolute_error: 2.57084840/4840 [==============================] - 5s 970us/step - loss: 15.3135 - mean_absolute_error: 2.5717 - val_loss: 14.9679 - val_mean_absolute_error: 2.5979
Epoch 6/100
   1/4840 [..............................] - ETA: 9s - loss: 17.0703 - mean_absolute_error: 2.7045  57/4840 [..............................] - ETA: 4s - loss: 15.0732 - mean_absolute_error: 2.5966 113/4840 [..............................] - ETA: 4s - loss: 14.6491 - mean_absolute_error: 2.5568 169/4840 [>.............................] - ETA: 4s - loss: 14.5238 - mean_absolute_error: 2.5572 224/4840 [>.............................] - ETA: 4s - loss: 14.6810 - mean_absolute_error: 2.5797 275/4840 [>.............................] - ETA: 4s - loss: 14.6625 - mean_absolute_error: 2.5781 330/4840 [=>............................] - ETA: 4s - loss: 14.5882 - mean_absolute_error: 2.5704 385/4840 [=>............................] - ETA: 4s - loss: 14.6841 - mean_absolute_error: 2.5828 439/4840 [=>............................] - ETA: 4s - loss: 14.6387 - mean_absolute_error: 2.5767 494/4840 [==>...........................] - ETA: 3s - loss: 14.6261 - mean_absolute_error: 2.5775 549/4840 [==>...........................] - 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ETA: 1s - loss: 14.5200 - mean_absolute_error: 2.58972899/4840 [================>.............] - ETA: 1s - loss: 14.5103 - mean_absolute_error: 2.58922953/4840 [=================>............] - ETA: 1s - loss: 14.5060 - mean_absolute_error: 2.58963009/4840 [=================>............] - ETA: 1s - loss: 14.5105 - mean_absolute_error: 2.59093064/4840 [=================>............] - ETA: 1s - loss: 14.5062 - mean_absolute_error: 2.59123119/4840 [==================>...........] - ETA: 1s - loss: 14.4837 - mean_absolute_error: 2.58933170/4840 [==================>...........] - ETA: 1s - loss: 14.4565 - mean_absolute_error: 2.58703225/4840 [==================>...........] - ETA: 1s - loss: 14.4462 - mean_absolute_error: 2.58673280/4840 [===================>..........] - ETA: 1s - loss: 14.4322 - mean_absolute_error: 2.58573336/4840 [===================>..........] - ETA: 1s - loss: 14.4294 - mean_absolute_error: 2.58603390/4840 [====================>.........] - ETA: 1s - loss: 14.4284 - 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ETA: 0s - loss: 14.3433 - mean_absolute_error: 2.58534050/4840 [========================>.....] - ETA: 0s - loss: 14.3439 - mean_absolute_error: 2.58604105/4840 [========================>.....] - ETA: 0s - loss: 14.3322 - mean_absolute_error: 2.58544161/4840 [========================>.....] - ETA: 0s - loss: 14.3301 - mean_absolute_error: 2.58624216/4840 [=========================>....] - ETA: 0s - loss: 14.3265 - mean_absolute_error: 2.58674268/4840 [=========================>....] - ETA: 0s - loss: 14.3180 - mean_absolute_error: 2.58624320/4840 [=========================>....] - ETA: 0s - loss: 14.3132 - mean_absolute_error: 2.58624375/4840 [==========================>...] - ETA: 0s - loss: 14.3032 - mean_absolute_error: 2.58564431/4840 [==========================>...] - ETA: 0s - loss: 14.2970 - mean_absolute_error: 2.58564486/4840 [==========================>...] - ETA: 0s - loss: 14.2898 - mean_absolute_error: 2.58544542/4840 [===========================>..] - ETA: 0s - loss: 14.2879 - mean_absolute_error: 2.58564597/4840 [===========================>..] - ETA: 0s - loss: 14.2953 - mean_absolute_error: 2.58694649/4840 [===========================>..] - ETA: 0s - loss: 14.2943 - mean_absolute_error: 2.58714704/4840 [============================>.] - ETA: 0s - loss: 14.2876 - mean_absolute_error: 2.58674760/4840 [============================>.] - ETA: 0s - loss: 14.2856 - mean_absolute_error: 2.58674813/4840 [============================>.] - ETA: 0s - loss: 14.2851 - mean_absolute_error: 2.58744840/4840 [==============================] - 5s 965us/step - loss: 14.2912 - mean_absolute_error: 2.5882 - val_loss: 14.1730 - val_mean_absolute_error: 2.6214
Epoch 7/100
   1/4840 [..............................] - ETA: 4s - loss: 18.4456 - mean_absolute_error: 2.9783  54/4840 [..............................] - ETA: 4s - loss: 14.0975 - mean_absolute_error: 2.6073 109/4840 [..............................] - ETA: 4s - loss: 13.8576 - mean_absolute_error: 2.5883 163/4840 [>.............................] - ETA: 4s - loss: 13.5411 - mean_absolute_error: 2.5531 217/4840 [>.............................] - ETA: 4s - loss: 13.5607 - mean_absolute_error: 2.5601 269/4840 [>.............................] - ETA: 4s - loss: 13.8083 - mean_absolute_error: 2.5871 324/4840 [=>............................] - ETA: 4s - loss: 13.8355 - mean_absolute_error: 2.5953 380/4840 [=>............................] - ETA: 4s - loss: 13.8228 - mean_absolute_error: 2.5954 435/4840 [=>............................] - ETA: 4s - loss: 13.7212 - mean_absolute_error: 2.5839 489/4840 [==>...........................] - ETA: 4s - loss: 13.7341 - mean_absolute_error: 2.5851 543/4840 [==>...........................] - ETA: 3s - loss: 13.6602 - mean_absolute_error: 2.5793 598/4840 [==>...........................] - ETA: 3s - loss: 13.6271 - mean_absolute_error: 2.5753 653/4840 [===>..........................] - ETA: 3s - loss: 13.5642 - mean_absolute_error: 2.5689 708/4840 [===>..........................] - ETA: 3s - loss: 13.5721 - mean_absolute_error: 2.5694 762/4840 [===>..........................] - ETA: 3s - loss: 13.5826 - mean_absolute_error: 2.5706 814/4840 [====>.........................] - ETA: 3s - loss: 13.5591 - mean_absolute_error: 2.5679 868/4840 [====>.........................] - ETA: 3s - loss: 13.5905 - mean_absolute_error: 2.5727 922/4840 [====>.........................] - ETA: 3s - loss: 13.6557 - mean_absolute_error: 2.5790 979/4840 [=====>........................] - ETA: 3s - loss: 13.6643 - mean_absolute_error: 2.57971033/4840 [=====>........................] - ETA: 3s - loss: 13.6841 - mean_absolute_error: 2.58371089/4840 [=====>........................] - ETA: 3s - loss: 13.6745 - 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mean_absolute_error: 2.59104591/4840 [===========================>..] - ETA: 0s - loss: 13.4703 - mean_absolute_error: 2.58974647/4840 [===========================>..] - ETA: 0s - loss: 13.4698 - mean_absolute_error: 2.59034702/4840 [============================>.] - ETA: 0s - loss: 13.4664 - mean_absolute_error: 2.59074757/4840 [============================>.] - ETA: 0s - loss: 13.4615 - mean_absolute_error: 2.59064811/4840 [============================>.] - ETA: 0s - loss: 13.4645 - mean_absolute_error: 2.59134840/4840 [==============================] - 5s 966us/step - loss: 13.4635 - mean_absolute_error: 2.5913 - val_loss: 13.5408 - val_mean_absolute_error: 2.6328
Epoch 8/100
   1/4840 [..............................] - ETA: 4s - loss: 9.9348 - mean_absolute_error: 2.3598  56/4840 [..............................] - ETA: 4s - loss: 13.3632 - mean_absolute_error: 2.6478 110/4840 [..............................] - ETA: 4s - loss: 13.0466 - mean_absolute_error: 2.6027 166/4840 [>.............................] - ETA: 4s - loss: 13.1312 - mean_absolute_error: 2.6116 220/4840 [>.............................] - ETA: 4s - loss: 13.0782 - mean_absolute_error: 2.5962 274/4840 [>.............................] - ETA: 4s - loss: 13.0419 - mean_absolute_error: 2.5947 325/4840 [=>............................] - ETA: 4s - loss: 13.0184 - mean_absolute_error: 2.5892 376/4840 [=>............................] - ETA: 4s - loss: 12.9922 - mean_absolute_error: 2.5910 430/4840 [=>............................] - ETA: 4s - loss: 12.9250 - mean_absolute_error: 2.5818 484/4840 [==>...........................] - ETA: 4s - loss: 12.8975 - mean_absolute_error: 2.5786 535/4840 [==>...........................] - 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mean_absolute_error: 2.58424495/4840 [==========================>...] - ETA: 0s - loss: 12.8017 - mean_absolute_error: 2.58344550/4840 [===========================>..] - ETA: 0s - loss: 12.8030 - mean_absolute_error: 2.58414603/4840 [===========================>..] - ETA: 0s - loss: 12.7969 - mean_absolute_error: 2.58404656/4840 [===========================>..] - ETA: 0s - loss: 12.7977 - mean_absolute_error: 2.58414711/4840 [============================>.] - ETA: 0s - loss: 12.8017 - mean_absolute_error: 2.58474766/4840 [============================>.] - ETA: 0s - loss: 12.8068 - mean_absolute_error: 2.58554822/4840 [============================>.] - ETA: 0s - loss: 12.8080 - mean_absolute_error: 2.58574840/4840 [==============================] - 5s 984us/step - loss: 12.8054 - mean_absolute_error: 2.5854 - val_loss: 13.0479 - val_mean_absolute_error: 2.6359
Epoch 9/100
   1/4840 [..............................] - ETA: 4s - loss: 14.5540 - mean_absolute_error: 2.8925  56/4840 [..............................] - ETA: 4s - loss: 12.4806 - mean_absolute_error: 2.6102 110/4840 [..............................] - ETA: 4s - loss: 12.2411 - mean_absolute_error: 2.5666 163/4840 [>.............................] - ETA: 4s - loss: 12.2024 - mean_absolute_error: 2.5526 218/4840 [>.............................] - ETA: 4s - loss: 12.2728 - mean_absolute_error: 2.5663 273/4840 [>.............................] - ETA: 4s - loss: 12.3329 - mean_absolute_error: 2.5719 328/4840 [=>............................] - ETA: 4s - loss: 12.2964 - mean_absolute_error: 2.5683 384/4840 [=>............................] - ETA: 4s - loss: 12.1365 - mean_absolute_error: 2.5466 438/4840 [=>............................] - ETA: 4s - loss: 12.0668 - mean_absolute_error: 2.5368 493/4840 [==>...........................] - ETA: 4s - loss: 12.0639 - mean_absolute_error: 2.5355 548/4840 [==>...........................] - ETA: 3s - loss: 12.0750 - mean_absolute_error: 2.5370 603/4840 [==>...........................] - ETA: 3s - loss: 12.0898 - mean_absolute_error: 2.5367 658/4840 [===>..........................] - ETA: 3s - loss: 12.1647 - mean_absolute_error: 2.5482 713/4840 [===>..........................] - ETA: 3s - loss: 12.1788 - mean_absolute_error: 2.5502 768/4840 [===>..........................] - ETA: 3s - loss: 12.1448 - mean_absolute_error: 2.5435 823/4840 [====>.........................] - ETA: 3s - loss: 12.1660 - mean_absolute_error: 2.5465 877/4840 [====>.........................] - ETA: 3s - loss: 12.1553 - mean_absolute_error: 2.5443 933/4840 [====>.........................] - ETA: 3s - loss: 12.1772 - mean_absolute_error: 2.5470 988/4840 [=====>........................] - ETA: 3s - loss: 12.1926 - mean_absolute_error: 2.54891043/4840 [=====>........................] - ETA: 3s - loss: 12.2064 - mean_absolute_error: 2.55161098/4840 [=====>........................] - ETA: 3s - loss: 12.2412 - 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ETA: 2s - loss: 12.2907 - mean_absolute_error: 2.56351760/4840 [=========>....................] - ETA: 2s - loss: 12.2918 - mean_absolute_error: 2.56431814/4840 [==========>...................] - ETA: 2s - loss: 12.2874 - mean_absolute_error: 2.56421869/4840 [==========>...................] - ETA: 2s - loss: 12.2861 - mean_absolute_error: 2.56491924/4840 [==========>...................] - ETA: 2s - loss: 12.2946 - mean_absolute_error: 2.56571978/4840 [===========>..................] - ETA: 2s - loss: 12.2886 - mean_absolute_error: 2.56512033/4840 [===========>..................] - ETA: 2s - loss: 12.2886 - mean_absolute_error: 2.56552088/4840 [===========>..................] - ETA: 2s - loss: 12.2674 - mean_absolute_error: 2.56332145/4840 [============>.................] - ETA: 2s - loss: 12.2887 - mean_absolute_error: 2.56512200/4840 [============>.................] - ETA: 2s - loss: 12.2865 - mean_absolute_error: 2.56542256/4840 [============>.................] - ETA: 2s - loss: 12.2831 - mean_absolute_error: 2.56542311/4840 [=============>................] - ETA: 2s - loss: 12.2737 - mean_absolute_error: 2.56422364/4840 [=============>................] - ETA: 2s - loss: 12.2661 - mean_absolute_error: 2.56332420/4840 [==============>...............] - ETA: 2s - loss: 12.2561 - mean_absolute_error: 2.56172475/4840 [==============>...............] - ETA: 2s - loss: 12.2651 - mean_absolute_error: 2.56302530/4840 [==============>...............] - ETA: 2s - loss: 12.2778 - mean_absolute_error: 2.56512585/4840 [===============>..............] - ETA: 2s - loss: 12.2939 - mean_absolute_error: 2.56702641/4840 [===============>..............] - ETA: 2s - loss: 12.3003 - mean_absolute_error: 2.56772698/4840 [===============>..............] - ETA: 1s - loss: 12.2939 - mean_absolute_error: 2.56732754/4840 [================>.............] - ETA: 1s - loss: 12.2887 - mean_absolute_error: 2.56732806/4840 [================>.............] - ETA: 1s - loss: 12.2865 - mean_absolute_error: 2.56722861/4840 [================>.............] - ETA: 1s - loss: 12.2916 - mean_absolute_error: 2.56822918/4840 [=================>............] - ETA: 1s - loss: 12.2879 - mean_absolute_error: 2.56772973/4840 [=================>............] - ETA: 1s - loss: 12.2782 - mean_absolute_error: 2.56703029/4840 [=================>............] - ETA: 1s - loss: 12.2930 - mean_absolute_error: 2.56913084/4840 [==================>...........] - ETA: 1s - loss: 12.2846 - mean_absolute_error: 2.56813139/4840 [==================>...........] - ETA: 1s - loss: 12.2784 - mean_absolute_error: 2.56773194/4840 [==================>...........] - ETA: 1s - loss: 12.2711 - mean_absolute_error: 2.56773249/4840 [===================>..........] - ETA: 1s - loss: 12.2693 - mean_absolute_error: 2.56773303/4840 [===================>..........] - ETA: 1s - loss: 12.2733 - mean_absolute_error: 2.56833360/4840 [===================>..........] - ETA: 1s - loss: 12.2774 - mean_absolute_error: 2.56963416/4840 [====================>.........] - ETA: 1s - loss: 12.2829 - mean_absolute_error: 2.57053472/4840 [====================>.........] - ETA: 1s - loss: 12.2864 - mean_absolute_error: 2.57093525/4840 [====================>.........] - ETA: 1s - loss: 12.2933 - mean_absolute_error: 2.57203580/4840 [=====================>........] - ETA: 1s - loss: 12.2976 - mean_absolute_error: 2.57333635/4840 [=====================>........] - ETA: 1s - loss: 12.3039 - mean_absolute_error: 2.57453691/4840 [=====================>........] - ETA: 1s - loss: 12.3025 - mean_absolute_error: 2.57413746/4840 [======================>.......] - ETA: 1s - loss: 12.3002 - mean_absolute_error: 2.57383802/4840 [======================>.......] - ETA: 0s - loss: 12.2969 - mean_absolute_error: 2.57343854/4840 [======================>.......] - ETA: 0s - loss: 12.3056 - mean_absolute_error: 2.57453908/4840 [=======================>......] - ETA: 0s - loss: 12.3131 - mean_absolute_error: 2.57573964/4840 [=======================>......] - ETA: 0s - loss: 12.3152 - mean_absolute_error: 2.57644018/4840 [=======================>......] - ETA: 0s - loss: 12.3113 - mean_absolute_error: 2.57604070/4840 [========================>.....] - ETA: 0s - loss: 12.3144 - mean_absolute_error: 2.57634124/4840 [========================>.....] - ETA: 0s - loss: 12.3192 - mean_absolute_error: 2.57724177/4840 [========================>.....] - ETA: 0s - loss: 12.3266 - mean_absolute_error: 2.57824230/4840 [=========================>....] - ETA: 0s - loss: 12.3226 - mean_absolute_error: 2.57794284/4840 [=========================>....] - ETA: 0s - loss: 12.3117 - mean_absolute_error: 2.57664340/4840 [=========================>....] - ETA: 0s - loss: 12.3085 - mean_absolute_error: 2.57654395/4840 [==========================>...] - ETA: 0s - loss: 12.3061 - mean_absolute_error: 2.57654449/4840 [==========================>...] - ETA: 0s - loss: 12.3050 - mean_absolute_error: 2.57634501/4840 [==========================>...] - ETA: 0s - loss: 12.2989 - mean_absolute_error: 2.57574555/4840 [===========================>..] - ETA: 0s - loss: 12.2961 - mean_absolute_error: 2.57574610/4840 [===========================>..] - ETA: 0s - loss: 12.2914 - mean_absolute_error: 2.57504665/4840 [===========================>..] - ETA: 0s - loss: 12.2936 - mean_absolute_error: 2.57564720/4840 [============================>.] - ETA: 0s - loss: 12.2872 - mean_absolute_error: 2.57484775/4840 [============================>.] - ETA: 0s - loss: 12.2877 - mean_absolute_error: 2.57524830/4840 [============================>.] - ETA: 0s - loss: 12.2891 - mean_absolute_error: 2.57574840/4840 [==============================] - 5s 962us/step - loss: 12.2885 - mean_absolute_error: 2.5757 - val_loss: 12.6667 - val_mean_absolute_error: 2.6339
Epoch 10/100
   1/4840 [..............................] - ETA: 4s - loss: 8.9853 - mean_absolute_error: 2.0676  57/4840 [..............................] - ETA: 4s - loss: 11.9254 - mean_absolute_error: 2.5370 111/4840 [..............................] - ETA: 4s - loss: 11.7333 - mean_absolute_error: 2.5286 166/4840 [>.............................] - ETA: 4s - loss: 11.6259 - mean_absolute_error: 2.5036 221/4840 [>.............................] - ETA: 4s - loss: 11.6520 - mean_absolute_error: 2.5139 277/4840 [>.............................] - ETA: 4s - loss: 11.7497 - mean_absolute_error: 2.5322 332/4840 [=>............................] - ETA: 4s - loss: 11.8037 - mean_absolute_error: 2.5393 385/4840 [=>............................] - ETA: 4s - loss: 11.9527 - mean_absolute_error: 2.5519 441/4840 [=>............................] - ETA: 4s - loss: 11.9952 - mean_absolute_error: 2.5558 497/4840 [==>...........................] - ETA: 3s - loss: 12.0507 - mean_absolute_error: 2.5641 553/4840 [==>...........................] - ETA: 3s - loss: 12.0540 - mean_absolute_error: 2.5653 609/4840 [==>...........................] - ETA: 3s - loss: 12.0898 - mean_absolute_error: 2.5721 664/4840 [===>..........................] - ETA: 3s - loss: 12.1044 - mean_absolute_error: 2.5751 716/4840 [===>..........................] - ETA: 3s - loss: 12.0979 - mean_absolute_error: 2.5747 771/4840 [===>..........................] - ETA: 3s - loss: 12.0448 - mean_absolute_error: 2.5704 826/4840 [====>.........................] - ETA: 3s - loss: 12.0008 - mean_absolute_error: 2.5645 883/4840 [====>.........................] - ETA: 3s - loss: 12.0031 - mean_absolute_error: 2.5653 938/4840 [====>.........................] - ETA: 3s - loss: 11.9914 - mean_absolute_error: 2.5641 993/4840 [=====>........................] - ETA: 3s - loss: 11.9610 - mean_absolute_error: 2.55961049/4840 [=====>........................] - ETA: 3s - loss: 11.9559 - mean_absolute_error: 2.56031105/4840 [=====>........................] - ETA: 3s - loss: 11.9629 - 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mean_absolute_error: 2.56314611/4840 [===========================>..] - ETA: 0s - loss: 11.8863 - mean_absolute_error: 2.56294667/4840 [===========================>..] - ETA: 0s - loss: 11.8864 - mean_absolute_error: 2.56304722/4840 [============================>.] - ETA: 0s - loss: 11.8828 - mean_absolute_error: 2.56264777/4840 [============================>.] - ETA: 0s - loss: 11.8883 - mean_absolute_error: 2.56374833/4840 [============================>.] - ETA: 0s - loss: 11.8850 - mean_absolute_error: 2.56364840/4840 [==============================] - 5s 965us/step - loss: 11.8857 - mean_absolute_error: 2.5636 - val_loss: 12.3718 - val_mean_absolute_error: 2.6285
Epoch 11/100
   1/4840 [..............................] - ETA: 9s - loss: 14.8651 - mean_absolute_error: 3.1194  56/4840 [..............................] - ETA: 4s - loss: 10.9868 - mean_absolute_error: 2.4935 111/4840 [..............................] - ETA: 4s - loss: 11.2101 - mean_absolute_error: 2.5140 168/4840 [>.............................] - ETA: 4s - loss: 11.2219 - mean_absolute_error: 2.5016 221/4840 [>.............................] - ETA: 4s - loss: 11.2712 - mean_absolute_error: 2.5091 276/4840 [>.............................] - ETA: 4s - loss: 11.4319 - mean_absolute_error: 2.5249 327/4840 [=>............................] - ETA: 4s - loss: 11.4801 - mean_absolute_error: 2.5308 382/4840 [=>............................] - ETA: 4s - loss: 11.4780 - mean_absolute_error: 2.5297 435/4840 [=>............................] - ETA: 4s - loss: 11.4856 - mean_absolute_error: 2.5293 490/4840 [==>...........................] - ETA: 4s - loss: 11.5460 - mean_absolute_error: 2.5370 545/4840 [==>...........................] - 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ETA: 2s - loss: 11.5419 - mean_absolute_error: 2.54061743/4840 [=========>....................] - ETA: 2s - loss: 11.5344 - mean_absolute_error: 2.54041798/4840 [==========>...................] - ETA: 2s - loss: 11.5382 - mean_absolute_error: 2.54051853/4840 [==========>...................] - ETA: 2s - loss: 11.5403 - mean_absolute_error: 2.54111907/4840 [==========>...................] - ETA: 2s - loss: 11.5282 - mean_absolute_error: 2.54011962/4840 [===========>..................] - ETA: 2s - loss: 11.5671 - mean_absolute_error: 2.54532016/4840 [===========>..................] - ETA: 2s - loss: 11.5543 - mean_absolute_error: 2.54362072/4840 [===========>..................] - ETA: 2s - loss: 11.5546 - mean_absolute_error: 2.54352121/4840 [============>.................] - ETA: 2s - loss: 11.5487 - mean_absolute_error: 2.54252175/4840 [============>.................] - ETA: 2s - loss: 11.5434 - mean_absolute_error: 2.54202231/4840 [============>.................] - ETA: 2s - loss: 11.5392 - 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ETA: 1s - loss: 11.5569 - mean_absolute_error: 2.54432887/4840 [================>.............] - ETA: 1s - loss: 11.5569 - mean_absolute_error: 2.54352942/4840 [=================>............] - ETA: 1s - loss: 11.5582 - mean_absolute_error: 2.54362997/4840 [=================>............] - ETA: 1s - loss: 11.5556 - mean_absolute_error: 2.54383051/4840 [=================>............] - ETA: 1s - loss: 11.5511 - mean_absolute_error: 2.54383108/4840 [==================>...........] - ETA: 1s - loss: 11.5455 - mean_absolute_error: 2.54363164/4840 [==================>...........] - ETA: 1s - loss: 11.5425 - mean_absolute_error: 2.54313218/4840 [==================>...........] - ETA: 1s - loss: 11.5289 - mean_absolute_error: 2.54163272/4840 [===================>..........] - ETA: 1s - loss: 11.5276 - mean_absolute_error: 2.54223326/4840 [===================>..........] - ETA: 1s - loss: 11.5340 - mean_absolute_error: 2.54293380/4840 [===================>..........] - ETA: 1s - loss: 11.5228 - mean_absolute_error: 2.54143434/4840 [====================>.........] - ETA: 1s - loss: 11.5229 - mean_absolute_error: 2.54133488/4840 [====================>.........] - ETA: 1s - loss: 11.5292 - mean_absolute_error: 2.54213543/4840 [====================>.........] - ETA: 1s - loss: 11.5329 - mean_absolute_error: 2.54303598/4840 [=====================>........] - ETA: 1s - loss: 11.5283 - mean_absolute_error: 2.54243652/4840 [=====================>........] - ETA: 1s - loss: 11.5297 - mean_absolute_error: 2.54263707/4840 [=====================>........] - ETA: 1s - loss: 11.5382 - mean_absolute_error: 2.54363762/4840 [======================>.......] - ETA: 0s - loss: 11.5385 - mean_absolute_error: 2.54383817/4840 [======================>.......] - ETA: 0s - loss: 11.5307 - mean_absolute_error: 2.54263872/4840 [=======================>......] - ETA: 0s - loss: 11.5374 - mean_absolute_error: 2.54383926/4840 [=======================>......] - ETA: 0s - loss: 11.5309 - mean_absolute_error: 2.54313980/4840 [=======================>......] - 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mean_absolute_error: 2.54624587/4840 [===========================>..] - ETA: 0s - loss: 11.5490 - mean_absolute_error: 2.54604642/4840 [===========================>..] - ETA: 0s - loss: 11.5582 - mean_absolute_error: 2.54724698/4840 [============================>.] - ETA: 0s - loss: 11.5604 - mean_absolute_error: 2.54794752/4840 [============================>.] - ETA: 0s - loss: 11.5658 - mean_absolute_error: 2.54904807/4840 [============================>.] - ETA: 0s - loss: 11.5689 - mean_absolute_error: 2.54954840/4840 [==============================] - 5s 967us/step - loss: 11.5733 - mean_absolute_error: 2.5504 - val_loss: 12.1432 - val_mean_absolute_error: 2.6218
Epoch 12/100
   1/4840 [..............................] - ETA: 9s - loss: 13.3474 - mean_absolute_error: 2.7521  54/4840 [..............................] - ETA: 4s - loss: 10.9649 - mean_absolute_error: 2.4986 107/4840 [..............................] - ETA: 4s - loss: 11.2341 - mean_absolute_error: 2.5109 160/4840 [..............................] - ETA: 4s - loss: 11.4721 - mean_absolute_error: 2.5457 215/4840 [>.............................] - ETA: 4s - loss: 11.5712 - mean_absolute_error: 2.5575 271/4840 [>.............................] - ETA: 4s - loss: 11.4378 - mean_absolute_error: 2.5394 324/4840 [=>............................] - ETA: 4s - loss: 11.3671 - mean_absolute_error: 2.5298 378/4840 [=>............................] - ETA: 4s - loss: 11.4180 - mean_absolute_error: 2.5397 434/4840 [=>............................] - ETA: 4s - loss: 11.3276 - mean_absolute_error: 2.5295 490/4840 [==>...........................] - ETA: 4s - loss: 11.4146 - mean_absolute_error: 2.5397 545/4840 [==>...........................] - 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mean_absolute_error: 2.53974569/4840 [===========================>..] - ETA: 0s - loss: 11.3388 - mean_absolute_error: 2.53934622/4840 [===========================>..] - ETA: 0s - loss: 11.3270 - mean_absolute_error: 2.53784677/4840 [===========================>..] - ETA: 0s - loss: 11.3319 - mean_absolute_error: 2.53834731/4840 [============================>.] - ETA: 0s - loss: 11.3388 - mean_absolute_error: 2.53904787/4840 [============================>.] - ETA: 0s - loss: 11.3360 - mean_absolute_error: 2.53864840/4840 [==============================] - 5s 971us/step - loss: 11.3315 - mean_absolute_error: 2.5382 - val_loss: 11.9738 - val_mean_absolute_error: 2.6149
Epoch 13/100
   1/4840 [..............................] - ETA: 4s - loss: 12.1332 - mean_absolute_error: 2.7814  54/4840 [..............................] - ETA: 4s - loss: 11.1112 - mean_absolute_error: 2.5150 109/4840 [..............................] - ETA: 4s - loss: 11.5585 - mean_absolute_error: 2.5674 163/4840 [>.............................] - ETA: 4s - loss: 11.5356 - mean_absolute_error: 2.5678 219/4840 [>.............................] - ETA: 4s - loss: 11.3771 - mean_absolute_error: 2.5483 274/4840 [>.............................] - ETA: 4s - loss: 11.2320 - mean_absolute_error: 2.5311 330/4840 [=>............................] - ETA: 4s - loss: 11.2759 - mean_absolute_error: 2.5375 386/4840 [=>............................] - ETA: 4s - loss: 11.2039 - mean_absolute_error: 2.5299 442/4840 [=>............................] - ETA: 4s - loss: 11.1637 - mean_absolute_error: 2.5251 496/4840 [==>...........................] - ETA: 3s - loss: 11.1083 - mean_absolute_error: 2.5161 551/4840 [==>...........................] - 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mean_absolute_error: 2.53093469/4840 [====================>.........] - ETA: 1s - loss: 11.1925 - mean_absolute_error: 2.53073524/4840 [====================>.........] - ETA: 1s - loss: 11.2123 - mean_absolute_error: 2.53323580/4840 [=====================>........] - ETA: 1s - loss: 11.2106 - mean_absolute_error: 2.53303636/4840 [=====================>........] - ETA: 1s - loss: 11.2102 - mean_absolute_error: 2.53293692/4840 [=====================>........] - ETA: 1s - loss: 11.2062 - mean_absolute_error: 2.53253744/4840 [======================>.......] - ETA: 1s - loss: 11.2057 - mean_absolute_error: 2.53273798/4840 [======================>.......] - ETA: 0s - loss: 11.2046 - mean_absolute_error: 2.53273854/4840 [======================>.......] - ETA: 0s - loss: 11.1991 - mean_absolute_error: 2.53223906/4840 [=======================>......] - ETA: 0s - loss: 11.1951 - mean_absolute_error: 2.53153961/4840 [=======================>......] - ETA: 0s - loss: 11.1918 - mean_absolute_error: 2.53164016/4840 [=======================>......] - 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mean_absolute_error: 2.52774621/4840 [===========================>..] - ETA: 0s - loss: 11.1476 - mean_absolute_error: 2.52734676/4840 [===========================>..] - ETA: 0s - loss: 11.1468 - mean_absolute_error: 2.52744732/4840 [============================>.] - ETA: 0s - loss: 11.1520 - mean_absolute_error: 2.52794787/4840 [============================>.] - ETA: 0s - loss: 11.1437 - mean_absolute_error: 2.52704840/4840 [==============================] - 5s 960us/step - loss: 11.1448 - mean_absolute_error: 2.5269 - val_loss: 11.8422 - val_mean_absolute_error: 2.6092
Epoch 14/100
   1/4840 [..............................] - ETA: 4s - loss: 8.7214 - mean_absolute_error: 2.3095  53/4840 [..............................] - ETA: 4s - loss: 11.5137 - mean_absolute_error: 2.5979 110/4840 [..............................] - ETA: 4s - loss: 11.2127 - mean_absolute_error: 2.5439 165/4840 [>.............................] - ETA: 4s - loss: 11.2641 - mean_absolute_error: 2.5500 219/4840 [>.............................] - ETA: 4s - loss: 11.1735 - mean_absolute_error: 2.5331 273/4840 [>.............................] - ETA: 4s - loss: 11.0948 - mean_absolute_error: 2.5290 328/4840 [=>............................] - ETA: 4s - loss: 11.1438 - mean_absolute_error: 2.5366 383/4840 [=>............................] - ETA: 4s - loss: 11.1334 - mean_absolute_error: 2.5371 438/4840 [=>............................] - ETA: 4s - loss: 11.0207 - mean_absolute_error: 2.5225 493/4840 [==>...........................] - ETA: 4s - loss: 10.9516 - mean_absolute_error: 2.5144 546/4840 [==>...........................] - ETA: 3s - loss: 10.9444 - mean_absolute_error: 2.5142 599/4840 [==>...........................] - ETA: 3s - loss: 10.9376 - mean_absolute_error: 2.5148 654/4840 [===>..........................] - ETA: 3s - loss: 10.9844 - mean_absolute_error: 2.5232 710/4840 [===>..........................] - ETA: 3s - loss: 10.9837 - mean_absolute_error: 2.5219 765/4840 [===>..........................] - ETA: 3s - loss: 10.9263 - mean_absolute_error: 2.5149 817/4840 [====>.........................] - ETA: 3s - loss: 10.9603 - mean_absolute_error: 2.5202 871/4840 [====>.........................] - ETA: 3s - loss: 10.9761 - mean_absolute_error: 2.5211 925/4840 [====>.........................] - ETA: 3s - loss: 10.9623 - mean_absolute_error: 2.5187 981/4840 [=====>........................] - ETA: 3s - loss: 10.9352 - mean_absolute_error: 2.51331035/4840 [=====>........................] - ETA: 3s - loss: 10.9366 - mean_absolute_error: 2.51191089/4840 [=====>........................] - ETA: 3s - loss: 10.9292 - mean_absolute_error: 2.51061144/4840 [======>.......................] - ETA: 3s - loss: 10.8977 - mean_absolute_error: 2.50541199/4840 [======>.......................] - ETA: 3s - loss: 10.8926 - mean_absolute_error: 2.50541254/4840 [======>.......................] - ETA: 3s - loss: 10.8897 - mean_absolute_error: 2.50641309/4840 [=======>......................] - ETA: 3s - loss: 10.8898 - mean_absolute_error: 2.50631362/4840 [=======>......................] - ETA: 3s - loss: 10.9182 - mean_absolute_error: 2.50911419/4840 [=======>......................] - ETA: 3s - loss: 10.9258 - mean_absolute_error: 2.50941448/4840 [=======>......................] - ETA: 3s - loss: 10.9270 - mean_absolute_error: 2.50991497/4840 [========>.....................] - ETA: 3s - loss: 10.9329 - mean_absolute_error: 2.50991550/4840 [========>.....................] - ETA: 3s - loss: 10.9278 - mean_absolute_error: 2.50851605/4840 [========>.....................] - ETA: 3s - loss: 10.9438 - mean_absolute_error: 2.51061660/4840 [=========>....................] - ETA: 3s - loss: 10.9484 - mean_absolute_error: 2.51071716/4840 [=========>....................] - ETA: 3s - loss: 10.9465 - mean_absolute_error: 2.50991771/4840 [=========>....................] - ETA: 3s - loss: 10.9468 - mean_absolute_error: 2.50991825/4840 [==========>...................] - ETA: 2s - loss: 10.9418 - mean_absolute_error: 2.50951879/4840 [==========>...................] - ETA: 2s - loss: 10.9548 - mean_absolute_error: 2.51121933/4840 [==========>...................] - ETA: 2s - loss: 10.9619 - mean_absolute_error: 2.51261986/4840 [===========>..................] - ETA: 2s - loss: 10.9471 - mean_absolute_error: 2.51082040/4840 [===========>..................] - ETA: 2s - loss: 10.9526 - mean_absolute_error: 2.51212093/4840 [===========>..................] - ETA: 2s - loss: 10.9493 - mean_absolute_error: 2.51142147/4840 [============>.................] - ETA: 2s - loss: 10.9488 - mean_absolute_error: 2.51142202/4840 [============>.................] - ETA: 2s - loss: 10.9428 - mean_absolute_error: 2.51072255/4840 [============>.................] - ETA: 2s - loss: 10.9358 - mean_absolute_error: 2.51002310/4840 [=============>................] - ETA: 2s - loss: 10.9158 - mean_absolute_error: 2.50752363/4840 [=============>................] - ETA: 2s - loss: 10.9197 - mean_absolute_error: 2.50822418/4840 [=============>................] - ETA: 2s - loss: 10.9260 - mean_absolute_error: 2.50872472/4840 [==============>...............] - ETA: 2s - loss: 10.9304 - mean_absolute_error: 2.50932525/4840 [==============>...............] - ETA: 2s - loss: 10.9343 - mean_absolute_error: 2.50982580/4840 [==============>...............] - ETA: 2s - loss: 10.9433 - mean_absolute_error: 2.51072634/4840 [===============>..............] - ETA: 2s - loss: 10.9423 - mean_absolute_error: 2.51082687/4840 [===============>..............] - ETA: 2s - loss: 10.9486 - mean_absolute_error: 2.51222741/4840 [===============>..............] - ETA: 2s - loss: 10.9563 - mean_absolute_error: 2.51322797/4840 [================>.............] - ETA: 1s - loss: 10.9659 - mean_absolute_error: 2.51452852/4840 [================>.............] - ETA: 1s - loss: 10.9693 - mean_absolute_error: 2.51472903/4840 [================>.............] - ETA: 1s - loss: 10.9756 - mean_absolute_error: 2.51512956/4840 [=================>............] - ETA: 1s - loss: 10.9645 - mean_absolute_error: 2.51323012/4840 [=================>............] - ETA: 1s - loss: 10.9690 - mean_absolute_error: 2.51383064/4840 [=================>............] - ETA: 1s - loss: 10.9686 - mean_absolute_error: 2.51393118/4840 [==================>...........] - ETA: 1s - loss: 10.9715 - mean_absolute_error: 2.51353171/4840 [==================>...........] - ETA: 1s - loss: 10.9776 - mean_absolute_error: 2.51443224/4840 [==================>...........] - ETA: 1s - loss: 10.9836 - mean_absolute_error: 2.51513279/4840 [===================>..........] - ETA: 1s - loss: 10.9781 - mean_absolute_error: 2.51423334/4840 [===================>..........] - ETA: 1s - loss: 10.9700 - mean_absolute_error: 2.51323388/4840 [====================>.........] - ETA: 1s - loss: 10.9723 - mean_absolute_error: 2.51373442/4840 [====================>.........] - ETA: 1s - loss: 10.9745 - mean_absolute_error: 2.51413497/4840 [====================>.........] - ETA: 1s - loss: 10.9852 - mean_absolute_error: 2.51603550/4840 [=====================>........] - ETA: 1s - loss: 10.9925 - mean_absolute_error: 2.51763602/4840 [=====================>........] - ETA: 1s - loss: 10.9973 - mean_absolute_error: 2.51773655/4840 [=====================>........] - ETA: 1s - loss: 10.9906 - mean_absolute_error: 2.51683710/4840 [=====================>........] - ETA: 1s - loss: 10.9899 - mean_absolute_error: 2.51713763/4840 [======================>.......] - ETA: 1s - loss: 10.9945 - mean_absolute_error: 2.51773818/4840 [======================>.......] - ETA: 0s - loss: 10.9940 - mean_absolute_error: 2.51773873/4840 [=======================>......] - ETA: 0s - loss: 10.9958 - mean_absolute_error: 2.51753928/4840 [=======================>......] - ETA: 0s - loss: 11.0065 - mean_absolute_error: 2.51873984/4840 [=======================>......] - ETA: 0s - loss: 11.0121 - mean_absolute_error: 2.51954038/4840 [========================>.....] - ETA: 0s - loss: 11.0070 - mean_absolute_error: 2.51874092/4840 [========================>.....] - ETA: 0s - loss: 11.0014 - mean_absolute_error: 2.51784146/4840 [========================>.....] - ETA: 0s - loss: 10.9971 - mean_absolute_error: 2.51714201/4840 [=========================>....] - ETA: 0s - loss: 11.0058 - mean_absolute_error: 2.51844255/4840 [=========================>....] - ETA: 0s - loss: 11.0066 - mean_absolute_error: 2.51834308/4840 [=========================>....] - ETA: 0s - loss: 11.0024 - mean_absolute_error: 2.51774362/4840 [==========================>...] - ETA: 0s - loss: 11.0032 - mean_absolute_error: 2.51754416/4840 [==========================>...] - ETA: 0s - loss: 10.9908 - mean_absolute_error: 2.51614471/4840 [==========================>...] - ETA: 0s - loss: 10.9925 - mean_absolute_error: 2.51644526/4840 [===========================>..] - ETA: 0s - loss: 10.9885 - mean_absolute_error: 2.51614581/4840 [===========================>..] - ETA: 0s - loss: 10.9909 - mean_absolute_error: 2.51634636/4840 [===========================>..] - ETA: 0s - loss: 10.9902 - mean_absolute_error: 2.51634688/4840 [============================>.] - ETA: 0s - loss: 10.9946 - mean_absolute_error: 2.51684742/4840 [============================>.] - ETA: 0s - loss: 10.9978 - mean_absolute_error: 2.51694798/4840 [============================>.] - ETA: 0s - loss: 10.9964 - mean_absolute_error: 2.51664840/4840 [==============================] - 5s 993us/step - loss: 11.0024 - mean_absolute_error: 2.5173 - val_loss: 11.7443 - val_mean_absolute_error: 2.6030
Epoch 15/100
   1/4840 [..............................] - ETA: 9s - loss: 10.0356 - mean_absolute_error: 2.3875  57/4840 [..............................] - ETA: 4s - loss: 11.3108 - mean_absolute_error: 2.5636 114/4840 [..............................] - ETA: 4s - loss: 11.3992 - mean_absolute_error: 2.5775 169/4840 [>.............................] - ETA: 4s - loss: 11.2826 - mean_absolute_error: 2.5638 224/4840 [>.............................] - ETA: 4s - loss: 11.1646 - mean_absolute_error: 2.5461 280/4840 [>.............................] - ETA: 4s - loss: 10.9699 - mean_absolute_error: 2.5219 335/4840 [=>............................] - ETA: 4s - loss: 10.9651 - mean_absolute_error: 2.5195 387/4840 [=>............................] - ETA: 4s - loss: 10.9656 - mean_absolute_error: 2.5183 443/4840 [=>............................] - ETA: 4s - loss: 10.9080 - mean_absolute_error: 2.5103 499/4840 [==>...........................] - ETA: 3s - loss: 10.9490 - mean_absolute_error: 2.5155 555/4840 [==>...........................] - 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mean_absolute_error: 2.50643394/4840 [====================>.........] - ETA: 1s - loss: 10.8931 - mean_absolute_error: 2.50683448/4840 [====================>.........] - ETA: 1s - loss: 10.8917 - mean_absolute_error: 2.50713503/4840 [====================>.........] - ETA: 1s - loss: 10.8905 - mean_absolute_error: 2.50683558/4840 [=====================>........] - ETA: 1s - loss: 10.8823 - mean_absolute_error: 2.50593612/4840 [=====================>........] - ETA: 1s - loss: 10.8804 - mean_absolute_error: 2.50583665/4840 [=====================>........] - ETA: 1s - loss: 10.8773 - mean_absolute_error: 2.50523721/4840 [======================>.......] - ETA: 1s - loss: 10.8724 - mean_absolute_error: 2.50513775/4840 [======================>.......] - ETA: 0s - loss: 10.8796 - mean_absolute_error: 2.50613831/4840 [======================>.......] - ETA: 0s - loss: 10.8775 - mean_absolute_error: 2.50603884/4840 [=======================>......] - ETA: 0s - loss: 10.8723 - mean_absolute_error: 2.50553939/4840 [=======================>......] - ETA: 0s - loss: 10.8764 - mean_absolute_error: 2.50633994/4840 [=======================>......] - ETA: 0s - loss: 10.8769 - mean_absolute_error: 2.50654049/4840 [========================>.....] - ETA: 0s - loss: 10.8846 - mean_absolute_error: 2.50774102/4840 [========================>.....] - ETA: 0s - loss: 10.8838 - mean_absolute_error: 2.50774157/4840 [========================>.....] - ETA: 0s - loss: 10.8867 - mean_absolute_error: 2.50804210/4840 [=========================>....] - ETA: 0s - loss: 10.8860 - mean_absolute_error: 2.50794262/4840 [=========================>....] - ETA: 0s - loss: 10.8876 - mean_absolute_error: 2.50804317/4840 [=========================>....] - ETA: 0s - loss: 10.8807 - mean_absolute_error: 2.50724369/4840 [==========================>...] - ETA: 0s - loss: 10.8710 - mean_absolute_error: 2.50614424/4840 [==========================>...] - ETA: 0s - loss: 10.8765 - mean_absolute_error: 2.50684478/4840 [==========================>...] - ETA: 0s - loss: 10.8759 - mean_absolute_error: 2.50684532/4840 [===========================>..] - ETA: 0s - loss: 10.8794 - mean_absolute_error: 2.50714587/4840 [===========================>..] - ETA: 0s - loss: 10.8864 - mean_absolute_error: 2.50774642/4840 [===========================>..] - ETA: 0s - loss: 10.8887 - mean_absolute_error: 2.50784696/4840 [============================>.] - ETA: 0s - loss: 10.8855 - mean_absolute_error: 2.50724750/4840 [============================>.] - ETA: 0s - loss: 10.8876 - mean_absolute_error: 2.50774805/4840 [============================>.] - ETA: 0s - loss: 10.8929 - mean_absolute_error: 2.50824840/4840 [==============================] - 5s 978us/step - loss: 10.8922 - mean_absolute_error: 2.5082 - val_loss: 11.6717 - val_mean_absolute_error: 2.5992
Epoch 16/100
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mean_absolute_error: 2.49833439/4840 [====================>.........] - ETA: 1s - loss: 10.8076 - mean_absolute_error: 2.49873491/4840 [====================>.........] - ETA: 1s - loss: 10.7960 - mean_absolute_error: 2.49743546/4840 [====================>.........] - ETA: 1s - loss: 10.7939 - mean_absolute_error: 2.49703599/4840 [=====================>........] - ETA: 1s - loss: 10.7927 - mean_absolute_error: 2.49713652/4840 [=====================>........] - ETA: 1s - loss: 10.7898 - mean_absolute_error: 2.49673706/4840 [=====================>........] - ETA: 1s - loss: 10.7918 - mean_absolute_error: 2.49703761/4840 [======================>.......] - ETA: 0s - loss: 10.7952 - mean_absolute_error: 2.49743817/4840 [======================>.......] - ETA: 0s - loss: 10.7958 - mean_absolute_error: 2.49773872/4840 [=======================>......] - ETA: 0s - loss: 10.7936 - mean_absolute_error: 2.49713926/4840 [=======================>......] - ETA: 0s - loss: 10.7925 - mean_absolute_error: 2.49713981/4840 [=======================>......] - 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mean_absolute_error: 2.50174576/4840 [===========================>..] - ETA: 0s - loss: 10.8146 - mean_absolute_error: 2.50164631/4840 [===========================>..] - ETA: 0s - loss: 10.8126 - mean_absolute_error: 2.50144686/4840 [============================>.] - ETA: 0s - loss: 10.8151 - mean_absolute_error: 2.50204739/4840 [============================>.] - ETA: 0s - loss: 10.8214 - mean_absolute_error: 2.50304793/4840 [============================>.] - ETA: 0s - loss: 10.8148 - mean_absolute_error: 2.50204840/4840 [==============================] - 5s 970us/step - loss: 10.8072 - mean_absolute_error: 2.5007 - val_loss: 11.6130 - val_mean_absolute_error: 2.5950
Epoch 17/100
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mean_absolute_error: 2.49234516/4840 [==========================>...] - ETA: 0s - loss: 10.7351 - mean_absolute_error: 2.49254571/4840 [===========================>..] - ETA: 0s - loss: 10.7382 - mean_absolute_error: 2.49314624/4840 [===========================>..] - ETA: 0s - loss: 10.7408 - mean_absolute_error: 2.49334678/4840 [===========================>..] - ETA: 0s - loss: 10.7392 - mean_absolute_error: 2.49294734/4840 [============================>.] - ETA: 0s - loss: 10.7388 - mean_absolute_error: 2.49294788/4840 [============================>.] - ETA: 0s - loss: 10.7371 - mean_absolute_error: 2.49274840/4840 [==============================] - ETA: 0s - loss: 10.7423 - mean_absolute_error: 2.49354840/4840 [==============================] - 5s 981us/step - loss: 10.7423 - mean_absolute_error: 2.4935 - val_loss: 11.5745 - val_mean_absolute_error: 2.5917
Epoch 18/100
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ETA: 2s - loss: 10.6372 - mean_absolute_error: 2.48481738/4840 [=========>....................] - ETA: 2s - loss: 10.6326 - mean_absolute_error: 2.48501788/4840 [==========>...................] - ETA: 2s - loss: 10.6589 - mean_absolute_error: 2.48801843/4840 [==========>...................] - ETA: 2s - loss: 10.6543 - mean_absolute_error: 2.48791895/4840 [==========>...................] - ETA: 2s - loss: 10.6584 - mean_absolute_error: 2.48841946/4840 [===========>..................] - ETA: 2s - loss: 10.6471 - mean_absolute_error: 2.48731999/4840 [===========>..................] - ETA: 2s - loss: 10.6660 - mean_absolute_error: 2.48982054/4840 [===========>..................] - ETA: 2s - loss: 10.6612 - mean_absolute_error: 2.48912107/4840 [============>.................] - ETA: 2s - loss: 10.6555 - mean_absolute_error: 2.48812162/4840 [============>.................] - ETA: 2s - loss: 10.6562 - mean_absolute_error: 2.48842217/4840 [============>.................] - ETA: 2s - loss: 10.6593 - 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ETA: 1s - loss: 10.7014 - mean_absolute_error: 2.49342867/4840 [================>.............] - ETA: 1s - loss: 10.7038 - mean_absolute_error: 2.49332922/4840 [=================>............] - ETA: 1s - loss: 10.7100 - mean_absolute_error: 2.49352977/4840 [=================>............] - ETA: 1s - loss: 10.7063 - mean_absolute_error: 2.49293033/4840 [=================>............] - ETA: 1s - loss: 10.7103 - mean_absolute_error: 2.49363087/4840 [==================>...........] - ETA: 1s - loss: 10.7129 - mean_absolute_error: 2.49373142/4840 [==================>...........] - ETA: 1s - loss: 10.7110 - mean_absolute_error: 2.49313196/4840 [==================>...........] - ETA: 1s - loss: 10.7092 - mean_absolute_error: 2.49343253/4840 [===================>..........] - ETA: 1s - loss: 10.7026 - mean_absolute_error: 2.49243308/4840 [===================>..........] - ETA: 1s - loss: 10.6945 - mean_absolute_error: 2.49143363/4840 [===================>..........] - ETA: 1s - loss: 10.6896 - mean_absolute_error: 2.49063417/4840 [====================>.........] - ETA: 1s - loss: 10.6909 - mean_absolute_error: 2.49063472/4840 [====================>.........] - ETA: 1s - loss: 10.6882 - mean_absolute_error: 2.49003527/4840 [====================>.........] - ETA: 1s - loss: 10.6885 - mean_absolute_error: 2.49023583/4840 [=====================>........] - ETA: 1s - loss: 10.6886 - mean_absolute_error: 2.49033638/4840 [=====================>........] - ETA: 1s - loss: 10.7012 - mean_absolute_error: 2.49193693/4840 [=====================>........] - ETA: 1s - loss: 10.7047 - mean_absolute_error: 2.49233745/4840 [======================>.......] - ETA: 1s - loss: 10.7013 - mean_absolute_error: 2.49153801/4840 [======================>.......] - ETA: 0s - loss: 10.6957 - mean_absolute_error: 2.49053857/4840 [======================>.......] - ETA: 0s - loss: 10.6976 - mean_absolute_error: 2.49083911/4840 [=======================>......] - ETA: 0s - loss: 10.6978 - mean_absolute_error: 2.49073965/4840 [=======================>......] - ETA: 0s - loss: 10.6988 - mean_absolute_error: 2.49064017/4840 [=======================>......] - ETA: 0s - loss: 10.7018 - mean_absolute_error: 2.49104069/4840 [========================>.....] - ETA: 0s - loss: 10.7046 - mean_absolute_error: 2.49144123/4840 [========================>.....] - ETA: 0s - loss: 10.7101 - mean_absolute_error: 2.49194177/4840 [========================>.....] - ETA: 0s - loss: 10.7100 - mean_absolute_error: 2.49194231/4840 [=========================>....] - ETA: 0s - loss: 10.7076 - mean_absolute_error: 2.49164285/4840 [=========================>....] - ETA: 0s - loss: 10.7002 - mean_absolute_error: 2.49024339/4840 [=========================>....] - ETA: 0s - loss: 10.6990 - mean_absolute_error: 2.48994393/4840 [==========================>...] - ETA: 0s - loss: 10.6869 - mean_absolute_error: 2.48844448/4840 [==========================>...] - ETA: 0s - loss: 10.6834 - mean_absolute_error: 2.48814503/4840 [==========================>...] - ETA: 0s - loss: 10.6779 - mean_absolute_error: 2.48744556/4840 [===========================>..] - ETA: 0s - loss: 10.6651 - mean_absolute_error: 2.48554609/4840 [===========================>..] - ETA: 0s - loss: 10.6719 - mean_absolute_error: 2.48644665/4840 [===========================>..] - ETA: 0s - loss: 10.6737 - mean_absolute_error: 2.48654720/4840 [============================>.] - ETA: 0s - loss: 10.6829 - mean_absolute_error: 2.48764775/4840 [============================>.] - ETA: 0s - loss: 10.6905 - mean_absolute_error: 2.48854830/4840 [============================>.] - ETA: 0s - loss: 10.6920 - mean_absolute_error: 2.48874840/4840 [==============================] - 5s 974us/step - loss: 10.6915 - mean_absolute_error: 2.4886 - val_loss: 11.5428 - val_mean_absolute_error: 2.5896
Epoch 19/100
   1/4840 [..............................] - ETA: 4s - loss: 9.5826 - mean_absolute_error: 2.3990  55/4840 [..............................] - ETA: 4s - loss: 10.7466 - mean_absolute_error: 2.5027 110/4840 [..............................] - ETA: 4s - loss: 10.5044 - mean_absolute_error: 2.4600 164/4840 [>.............................] - ETA: 4s - loss: 10.6461 - mean_absolute_error: 2.4861 219/4840 [>.............................] - ETA: 4s - loss: 10.5552 - mean_absolute_error: 2.4760 272/4840 [>.............................] - ETA: 4s - loss: 10.5112 - mean_absolute_error: 2.4650 327/4840 [=>............................] - ETA: 4s - loss: 10.5257 - mean_absolute_error: 2.4670 380/4840 [=>............................] - ETA: 4s - loss: 10.5136 - mean_absolute_error: 2.4647 434/4840 [=>............................] - ETA: 4s - loss: 10.5588 - mean_absolute_error: 2.4695 489/4840 [==>...........................] - ETA: 4s - loss: 10.5321 - mean_absolute_error: 2.4647 542/4840 [==>...........................] - 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ETA: 0s - loss: 10.6299 - mean_absolute_error: 2.48154019/4840 [=======================>......] - ETA: 0s - loss: 10.6279 - mean_absolute_error: 2.48154075/4840 [========================>.....] - ETA: 0s - loss: 10.6245 - mean_absolute_error: 2.48154130/4840 [========================>.....] - ETA: 0s - loss: 10.6324 - mean_absolute_error: 2.48274185/4840 [========================>.....] - ETA: 0s - loss: 10.6427 - mean_absolute_error: 2.48374239/4840 [=========================>....] - ETA: 0s - loss: 10.6447 - mean_absolute_error: 2.48374294/4840 [=========================>....] - ETA: 0s - loss: 10.6411 - mean_absolute_error: 2.48344349/4840 [=========================>....] - ETA: 0s - loss: 10.6422 - mean_absolute_error: 2.48364403/4840 [==========================>...] - ETA: 0s - loss: 10.6394 - mean_absolute_error: 2.48324458/4840 [==========================>...] - ETA: 0s - loss: 10.6456 - mean_absolute_error: 2.48374512/4840 [==========================>...] - ETA: 0s - loss: 10.6497 - mean_absolute_error: 2.48404566/4840 [===========================>..] - ETA: 0s - loss: 10.6566 - mean_absolute_error: 2.48504621/4840 [===========================>..] - ETA: 0s - loss: 10.6582 - mean_absolute_error: 2.48514676/4840 [===========================>..] - ETA: 0s - loss: 10.6626 - mean_absolute_error: 2.48604732/4840 [============================>.] - ETA: 0s - loss: 10.6562 - mean_absolute_error: 2.48504786/4840 [============================>.] - ETA: 0s - loss: 10.6551 - mean_absolute_error: 2.48464840/4840 [==============================] - 5s 972us/step - loss: 10.6525 - mean_absolute_error: 2.4842 - val_loss: 11.5207 - val_mean_absolute_error: 2.5882
Epoch 20/100
   1/4840 [..............................] - ETA: 9s - loss: 14.3400 - mean_absolute_error: 2.7623  56/4840 [..............................] - ETA: 4s - loss: 10.3577 - mean_absolute_error: 2.4339 112/4840 [..............................] - ETA: 4s - loss: 10.4833 - mean_absolute_error: 2.4473 167/4840 [>.............................] - ETA: 4s - loss: 10.3418 - mean_absolute_error: 2.4255 222/4840 [>.............................] - ETA: 4s - loss: 10.4961 - mean_absolute_error: 2.4551 277/4840 [>.............................] - ETA: 4s - loss: 10.4674 - mean_absolute_error: 2.4528 331/4840 [=>............................] - ETA: 4s - loss: 10.4496 - mean_absolute_error: 2.4572 381/4840 [=>............................] - ETA: 4s - loss: 10.3863 - mean_absolute_error: 2.4478 435/4840 [=>............................] - ETA: 4s - loss: 10.3206 - mean_absolute_error: 2.4370 487/4840 [==>...........................] - ETA: 4s - loss: 10.2834 - mean_absolute_error: 2.4336 536/4840 [==>...........................] - 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mean_absolute_error: 2.46863375/4840 [===================>..........] - ETA: 1s - loss: 10.5280 - mean_absolute_error: 2.46743431/4840 [====================>.........] - ETA: 1s - loss: 10.5266 - mean_absolute_error: 2.46743486/4840 [====================>.........] - ETA: 1s - loss: 10.5343 - mean_absolute_error: 2.46833540/4840 [====================>.........] - ETA: 1s - loss: 10.5299 - mean_absolute_error: 2.46773594/4840 [=====================>........] - ETA: 1s - loss: 10.5329 - mean_absolute_error: 2.46803648/4840 [=====================>........] - ETA: 1s - loss: 10.5346 - mean_absolute_error: 2.46823702/4840 [=====================>........] - ETA: 1s - loss: 10.5406 - mean_absolute_error: 2.46863756/4840 [======================>.......] - ETA: 1s - loss: 10.5437 - mean_absolute_error: 2.46933809/4840 [======================>.......] - ETA: 0s - loss: 10.5482 - mean_absolute_error: 2.47013862/4840 [======================>.......] - ETA: 0s - loss: 10.5559 - mean_absolute_error: 2.47093916/4840 [=======================>......] - 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mean_absolute_error: 2.47544509/4840 [==========================>...] - ETA: 0s - loss: 10.5927 - mean_absolute_error: 2.47654563/4840 [===========================>..] - ETA: 0s - loss: 10.5945 - mean_absolute_error: 2.47654617/4840 [===========================>..] - ETA: 0s - loss: 10.5941 - mean_absolute_error: 2.47644670/4840 [===========================>..] - ETA: 0s - loss: 10.6026 - mean_absolute_error: 2.47744725/4840 [============================>.] - ETA: 0s - loss: 10.6123 - mean_absolute_error: 2.47874780/4840 [============================>.] - ETA: 0s - loss: 10.6117 - mean_absolute_error: 2.47904833/4840 [============================>.] - ETA: 0s - loss: 10.6224 - mean_absolute_error: 2.48074840/4840 [==============================] - 5s 984us/step - loss: 10.6230 - mean_absolute_error: 2.4808 - val_loss: 11.5037 - val_mean_absolute_error: 2.5859
Epoch 21/100
   1/4840 [..............................] - ETA: 4s - loss: 14.7391 - mean_absolute_error: 2.7269  58/4840 [..............................] - ETA: 4s - loss: 10.5800 - mean_absolute_error: 2.4790 113/4840 [..............................] - ETA: 4s - loss: 10.5677 - mean_absolute_error: 2.4669 167/4840 [>.............................] - ETA: 4s - loss: 10.4729 - mean_absolute_error: 2.4575 222/4840 [>.............................] - ETA: 4s - loss: 10.4094 - mean_absolute_error: 2.4464 276/4840 [>.............................] - ETA: 4s - loss: 10.4979 - mean_absolute_error: 2.4644 332/4840 [=>............................] - ETA: 4s - loss: 10.5894 - mean_absolute_error: 2.4802 386/4840 [=>............................] - ETA: 4s - loss: 10.5909 - mean_absolute_error: 2.4836 441/4840 [=>............................] - ETA: 4s - loss: 10.5815 - mean_absolute_error: 2.4793 496/4840 [==>...........................] - ETA: 3s - loss: 10.5860 - mean_absolute_error: 2.4767 551/4840 [==>...........................] - ETA: 3s - loss: 10.5736 - mean_absolute_error: 2.4760 606/4840 [==>...........................] - ETA: 3s - loss: 10.5400 - mean_absolute_error: 2.4707 661/4840 [===>..........................] - ETA: 3s - loss: 10.5081 - mean_absolute_error: 2.4670 717/4840 [===>..........................] - ETA: 3s - loss: 10.5150 - mean_absolute_error: 2.4677 773/4840 [===>..........................] - ETA: 3s - loss: 10.4837 - mean_absolute_error: 2.4640 819/4840 [====>.........................] - ETA: 3s - loss: 10.4534 - mean_absolute_error: 2.4614 861/4840 [====>.........................] - ETA: 3s - loss: 10.4844 - mean_absolute_error: 2.4651 915/4840 [====>.........................] - ETA: 3s - loss: 10.4793 - mean_absolute_error: 2.4655 968/4840 [=====>........................] - ETA: 3s - loss: 10.5025 - mean_absolute_error: 2.46731021/4840 [=====>........................] - ETA: 3s - loss: 10.4707 - mean_absolute_error: 2.46321074/4840 [=====>........................] - ETA: 3s - loss: 10.4795 - mean_absolute_error: 2.46501128/4840 [=====>........................] - ETA: 3s - loss: 10.4984 - mean_absolute_error: 2.46611183/4840 [======>.......................] - ETA: 3s - loss: 10.5025 - mean_absolute_error: 2.46791239/4840 [======>.......................] - ETA: 3s - loss: 10.5101 - mean_absolute_error: 2.47021294/4840 [=======>......................] - ETA: 3s - loss: 10.4958 - mean_absolute_error: 2.46861350/4840 [=======>......................] - ETA: 3s - loss: 10.5120 - mean_absolute_error: 2.47011405/4840 [=======>......................] - ETA: 3s - loss: 10.5169 - mean_absolute_error: 2.47141461/4840 [========>.....................] - ETA: 3s - loss: 10.5196 - mean_absolute_error: 2.47131516/4840 [========>.....................] - ETA: 3s - loss: 10.5113 - mean_absolute_error: 2.47051568/4840 [========>.....................] - ETA: 3s - loss: 10.5106 - mean_absolute_error: 2.47101622/4840 [=========>....................] - ETA: 3s - loss: 10.5218 - mean_absolute_error: 2.47291677/4840 [=========>....................] - ETA: 2s - loss: 10.5421 - mean_absolute_error: 2.47591729/4840 [=========>....................] - ETA: 2s - loss: 10.5362 - mean_absolute_error: 2.47531782/4840 [==========>...................] - ETA: 2s - loss: 10.5410 - mean_absolute_error: 2.47671838/4840 [==========>...................] - ETA: 2s - loss: 10.5282 - mean_absolute_error: 2.47421894/4840 [==========>...................] - ETA: 2s - loss: 10.5353 - mean_absolute_error: 2.47431948/4840 [===========>..................] - ETA: 2s - loss: 10.5231 - mean_absolute_error: 2.47272004/4840 [===========>..................] - ETA: 2s - loss: 10.5316 - mean_absolute_error: 2.47362058/4840 [===========>..................] - ETA: 2s - loss: 10.5282 - mean_absolute_error: 2.47302112/4840 [============>.................] - ETA: 2s - loss: 10.5317 - mean_absolute_error: 2.47322166/4840 [============>.................] - ETA: 2s - loss: 10.5432 - mean_absolute_error: 2.47402220/4840 [============>.................] - ETA: 2s - loss: 10.5351 - mean_absolute_error: 2.47252275/4840 [=============>................] - ETA: 2s - loss: 10.5416 - mean_absolute_error: 2.47362329/4840 [=============>................] - ETA: 2s - loss: 10.5606 - mean_absolute_error: 2.47662384/4840 [=============>................] - ETA: 2s - loss: 10.5747 - mean_absolute_error: 2.47842437/4840 [==============>...............] - ETA: 2s - loss: 10.5779 - mean_absolute_error: 2.47852491/4840 [==============>...............] - ETA: 2s - loss: 10.5769 - mean_absolute_error: 2.47852545/4840 [==============>...............] - ETA: 2s - loss: 10.5685 - mean_absolute_error: 2.47682600/4840 [===============>..............] - ETA: 2s - loss: 10.5732 - mean_absolute_error: 2.47762654/4840 [===============>..............] - ETA: 2s - loss: 10.5759 - mean_absolute_error: 2.47752707/4840 [===============>..............] - ETA: 1s - loss: 10.5710 - mean_absolute_error: 2.47632762/4840 [================>.............] - ETA: 1s - loss: 10.5753 - mean_absolute_error: 2.47702815/4840 [================>.............] - ETA: 1s - loss: 10.5725 - mean_absolute_error: 2.47642871/4840 [================>.............] - ETA: 1s - loss: 10.5668 - mean_absolute_error: 2.47562926/4840 [=================>............] - ETA: 1s - loss: 10.5788 - mean_absolute_error: 2.47702980/4840 [=================>............] - ETA: 1s - loss: 10.5759 - mean_absolute_error: 2.47623035/4840 [=================>............] - ETA: 1s - loss: 10.5719 - mean_absolute_error: 2.47543089/4840 [==================>...........] - ETA: 1s - loss: 10.5734 - mean_absolute_error: 2.47533145/4840 [==================>...........] - ETA: 1s - loss: 10.5688 - mean_absolute_error: 2.47413199/4840 [==================>...........] - ETA: 1s - loss: 10.5724 - mean_absolute_error: 2.47433254/4840 [===================>..........] - ETA: 1s - loss: 10.5645 - mean_absolute_error: 2.47343307/4840 [===================>..........] - ETA: 1s - loss: 10.5686 - mean_absolute_error: 2.47413363/4840 [===================>..........] - ETA: 1s - loss: 10.5759 - mean_absolute_error: 2.47513418/4840 [====================>.........] - ETA: 1s - loss: 10.5708 - mean_absolute_error: 2.47413473/4840 [====================>.........] - ETA: 1s - loss: 10.5681 - mean_absolute_error: 2.47373528/4840 [====================>.........] - ETA: 1s - loss: 10.5706 - mean_absolute_error: 2.47373582/4840 [=====================>........] - ETA: 1s - loss: 10.5584 - mean_absolute_error: 2.47233635/4840 [=====================>........] - ETA: 1s - loss: 10.5642 - mean_absolute_error: 2.47283690/4840 [=====================>........] - ETA: 1s - loss: 10.5647 - mean_absolute_error: 2.47283744/4840 [======================>.......] - ETA: 1s - loss: 10.5694 - mean_absolute_error: 2.47373799/4840 [======================>.......] - ETA: 0s - loss: 10.5705 - mean_absolute_error: 2.47383852/4840 [======================>.......] - ETA: 0s - loss: 10.5644 - mean_absolute_error: 2.47313905/4840 [=======================>......] - ETA: 0s - loss: 10.5627 - mean_absolute_error: 2.47293960/4840 [=======================>......] - 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mean_absolute_error: 2.47684559/4840 [===========================>..] - ETA: 0s - loss: 10.6020 - mean_absolute_error: 2.47804612/4840 [===========================>..] - ETA: 0s - loss: 10.5955 - mean_absolute_error: 2.47714667/4840 [===========================>..] - ETA: 0s - loss: 10.5986 - mean_absolute_error: 2.47754722/4840 [============================>.] - ETA: 0s - loss: 10.5949 - mean_absolute_error: 2.47704777/4840 [============================>.] - ETA: 0s - loss: 10.5952 - mean_absolute_error: 2.47714831/4840 [============================>.] - ETA: 0s - loss: 10.5977 - mean_absolute_error: 2.47764840/4840 [==============================] - 5s 973us/step - loss: 10.5984 - mean_absolute_error: 2.4777 - val_loss: 11.4921 - val_mean_absolute_error: 2.5847
Epoch 22/100
   1/4840 [..............................] - ETA: 4s - loss: 9.8832 - mean_absolute_error: 2.6109  54/4840 [..............................] - ETA: 4s - loss: 10.2053 - mean_absolute_error: 2.4542 109/4840 [..............................] - ETA: 4s - loss: 10.3797 - mean_absolute_error: 2.4698 163/4840 [>.............................] - ETA: 4s - loss: 10.3691 - mean_absolute_error: 2.4624 219/4840 [>.............................] - ETA: 4s - loss: 10.4940 - mean_absolute_error: 2.4728 273/4840 [>.............................] - ETA: 4s - loss: 10.5002 - mean_absolute_error: 2.4746 323/4840 [=>............................] - ETA: 4s - loss: 10.4395 - mean_absolute_error: 2.4684 376/4840 [=>............................] - ETA: 4s - loss: 10.4004 - mean_absolute_error: 2.4637 432/4840 [=>............................] - ETA: 4s - loss: 10.3461 - mean_absolute_error: 2.4519 488/4840 [==>...........................] - ETA: 4s - loss: 10.3555 - mean_absolute_error: 2.4529 542/4840 [==>...........................] - ETA: 3s - loss: 10.3428 - mean_absolute_error: 2.4508 595/4840 [==>...........................] - ETA: 3s - loss: 10.3612 - mean_absolute_error: 2.4517 651/4840 [===>..........................] - ETA: 3s - loss: 10.3707 - mean_absolute_error: 2.4502 705/4840 [===>..........................] - ETA: 3s - loss: 10.4153 - mean_absolute_error: 2.4568 760/4840 [===>..........................] - ETA: 3s - loss: 10.4435 - mean_absolute_error: 2.4607 816/4840 [====>.........................] - ETA: 3s - loss: 10.4925 - mean_absolute_error: 2.4673 870/4840 [====>.........................] - ETA: 3s - loss: 10.4942 - mean_absolute_error: 2.4664 922/4840 [====>.........................] - ETA: 3s - loss: 10.5171 - mean_absolute_error: 2.4697 975/4840 [=====>........................] - ETA: 3s - loss: 10.5021 - mean_absolute_error: 2.46591029/4840 [=====>........................] - ETA: 3s - loss: 10.4864 - mean_absolute_error: 2.46431084/4840 [=====>........................] - ETA: 3s - loss: 10.4936 - 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mean_absolute_error: 2.46913403/4840 [====================>.........] - ETA: 1s - loss: 10.5464 - mean_absolute_error: 2.47113457/4840 [====================>.........] - ETA: 1s - loss: 10.5402 - mean_absolute_error: 2.47023510/4840 [====================>.........] - ETA: 1s - loss: 10.5365 - mean_absolute_error: 2.46993565/4840 [=====================>........] - ETA: 1s - loss: 10.5294 - mean_absolute_error: 2.46953620/4840 [=====================>........] - ETA: 1s - loss: 10.5301 - mean_absolute_error: 2.46973674/4840 [=====================>........] - ETA: 1s - loss: 10.5291 - mean_absolute_error: 2.46983729/4840 [======================>.......] - ETA: 1s - loss: 10.5393 - mean_absolute_error: 2.47103783/4840 [======================>.......] - ETA: 0s - loss: 10.5391 - mean_absolute_error: 2.47123837/4840 [======================>.......] - ETA: 0s - loss: 10.5391 - mean_absolute_error: 2.47133892/4840 [=======================>......] - ETA: 0s - loss: 10.5375 - mean_absolute_error: 2.47073947/4840 [=======================>......] - ETA: 0s - loss: 10.5437 - mean_absolute_error: 2.47124003/4840 [=======================>......] - ETA: 0s - loss: 10.5478 - mean_absolute_error: 2.47174059/4840 [========================>.....] - ETA: 0s - loss: 10.5529 - mean_absolute_error: 2.47264115/4840 [========================>.....] - ETA: 0s - loss: 10.5524 - mean_absolute_error: 2.47274171/4840 [========================>.....] - ETA: 0s - loss: 10.5579 - mean_absolute_error: 2.47324226/4840 [=========================>....] - ETA: 0s - loss: 10.5586 - mean_absolute_error: 2.47294280/4840 [=========================>....] - ETA: 0s - loss: 10.5616 - mean_absolute_error: 2.47354336/4840 [=========================>....] - ETA: 0s - loss: 10.5604 - mean_absolute_error: 2.47334390/4840 [==========================>...] - ETA: 0s - loss: 10.5642 - mean_absolute_error: 2.47374444/4840 [==========================>...] - ETA: 0s - loss: 10.5667 - mean_absolute_error: 2.47394498/4840 [==========================>...] - ETA: 0s - loss: 10.5632 - mean_absolute_error: 2.47334553/4840 [===========================>..] - ETA: 0s - loss: 10.5663 - mean_absolute_error: 2.47344608/4840 [===========================>..] - ETA: 0s - loss: 10.5735 - mean_absolute_error: 2.47434664/4840 [===========================>..] - ETA: 0s - loss: 10.5728 - mean_absolute_error: 2.47424719/4840 [============================>.] - ETA: 0s - loss: 10.5747 - mean_absolute_error: 2.47444774/4840 [============================>.] - ETA: 0s - loss: 10.5709 - mean_absolute_error: 2.47414828/4840 [============================>.] - ETA: 0s - loss: 10.5760 - mean_absolute_error: 2.47454840/4840 [==============================] - 5s 971us/step - loss: 10.5799 - mean_absolute_error: 2.4752 - val_loss: 11.4793 - val_mean_absolute_error: 2.5838
Epoch 23/100
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ETA: 1s - loss: 10.5306 - mean_absolute_error: 2.47102886/4840 [================>.............] - ETA: 1s - loss: 10.5335 - mean_absolute_error: 2.47152941/4840 [=================>............] - ETA: 1s - loss: 10.5336 - mean_absolute_error: 2.47192995/4840 [=================>............] - ETA: 1s - loss: 10.5283 - mean_absolute_error: 2.47173050/4840 [=================>............] - ETA: 1s - loss: 10.5320 - mean_absolute_error: 2.47183103/4840 [==================>...........] - ETA: 1s - loss: 10.5324 - mean_absolute_error: 2.47233157/4840 [==================>...........] - ETA: 1s - loss: 10.5336 - mean_absolute_error: 2.47213211/4840 [==================>...........] - ETA: 1s - loss: 10.5399 - mean_absolute_error: 2.47323266/4840 [===================>..........] - ETA: 1s - loss: 10.5454 - mean_absolute_error: 2.47423320/4840 [===================>..........] - ETA: 1s - loss: 10.5480 - mean_absolute_error: 2.47463374/4840 [===================>..........] - ETA: 1s - loss: 10.5451 - mean_absolute_error: 2.47443427/4840 [====================>.........] - ETA: 1s - loss: 10.5515 - mean_absolute_error: 2.47553482/4840 [====================>.........] - ETA: 1s - loss: 10.5445 - mean_absolute_error: 2.47423536/4840 [====================>.........] - ETA: 1s - loss: 10.5376 - mean_absolute_error: 2.47293591/4840 [=====================>........] - ETA: 1s - loss: 10.5417 - mean_absolute_error: 2.47313644/4840 [=====================>........] - ETA: 1s - loss: 10.5442 - mean_absolute_error: 2.47353695/4840 [=====================>........] - ETA: 1s - loss: 10.5432 - mean_absolute_error: 2.47333750/4840 [======================>.......] - ETA: 1s - loss: 10.5380 - mean_absolute_error: 2.47243804/4840 [======================>.......] - ETA: 0s - loss: 10.5416 - mean_absolute_error: 2.47293858/4840 [======================>.......] - ETA: 0s - loss: 10.5440 - mean_absolute_error: 2.47303913/4840 [=======================>......] - ETA: 0s - loss: 10.5400 - mean_absolute_error: 2.47233969/4840 [=======================>......] - ETA: 0s - loss: 10.5451 - mean_absolute_error: 2.47294019/4840 [=======================>......] - ETA: 0s - loss: 10.5498 - mean_absolute_error: 2.47364073/4840 [========================>.....] - ETA: 0s - loss: 10.5497 - mean_absolute_error: 2.47354127/4840 [========================>.....] - ETA: 0s - loss: 10.5558 - mean_absolute_error: 2.47414180/4840 [========================>.....] - ETA: 0s - loss: 10.5597 - mean_absolute_error: 2.47434235/4840 [=========================>....] - ETA: 0s - loss: 10.5591 - mean_absolute_error: 2.47474290/4840 [=========================>....] - ETA: 0s - loss: 10.5622 - mean_absolute_error: 2.47514346/4840 [=========================>....] - ETA: 0s - loss: 10.5600 - mean_absolute_error: 2.47474401/4840 [==========================>...] - ETA: 0s - loss: 10.5595 - mean_absolute_error: 2.47444456/4840 [==========================>...] - ETA: 0s - loss: 10.5564 - mean_absolute_error: 2.47434510/4840 [==========================>...] - ETA: 0s - loss: 10.5592 - mean_absolute_error: 2.47434565/4840 [===========================>..] - ETA: 0s - loss: 10.5541 - mean_absolute_error: 2.47354620/4840 [===========================>..] - ETA: 0s - loss: 10.5518 - mean_absolute_error: 2.47314675/4840 [===========================>..] - ETA: 0s - loss: 10.5555 - mean_absolute_error: 2.47354727/4840 [============================>.] - ETA: 0s - loss: 10.5646 - mean_absolute_error: 2.47494780/4840 [============================>.] - ETA: 0s - loss: 10.5607 - mean_absolute_error: 2.47454835/4840 [============================>.] - ETA: 0s - loss: 10.5650 - mean_absolute_error: 2.47504840/4840 [==============================] - 5s 971us/step - loss: 10.5647 - mean_absolute_error: 2.4749 - val_loss: 11.4683 - val_mean_absolute_error: 2.5820
Epoch 24/100
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mean_absolute_error: 2.47354552/4840 [===========================>..] - ETA: 0s - loss: 10.5619 - mean_absolute_error: 2.47374608/4840 [===========================>..] - ETA: 0s - loss: 10.5589 - mean_absolute_error: 2.47354663/4840 [===========================>..] - ETA: 0s - loss: 10.5619 - mean_absolute_error: 2.47414718/4840 [============================>.] - ETA: 0s - loss: 10.5615 - mean_absolute_error: 2.47384771/4840 [============================>.] - ETA: 0s - loss: 10.5618 - mean_absolute_error: 2.47434826/4840 [============================>.] - ETA: 0s - loss: 10.5549 - mean_absolute_error: 2.47324840/4840 [==============================] - 5s 972us/step - loss: 10.5532 - mean_absolute_error: 2.4729 - val_loss: 11.4646 - val_mean_absolute_error: 2.5809
Epoch 25/100
   1/4840 [..............................] - ETA: 9s - loss: 6.6844 - mean_absolute_error: 1.9519  57/4840 [..............................] - ETA: 4s - loss: 10.6037 - mean_absolute_error: 2.4744 113/4840 [..............................] - ETA: 4s - loss: 10.3296 - mean_absolute_error: 2.4295 167/4840 [>.............................] - ETA: 4s - loss: 10.3007 - mean_absolute_error: 2.4355 220/4840 [>.............................] - ETA: 4s - loss: 10.4118 - mean_absolute_error: 2.4570 274/4840 [>.............................] - ETA: 4s - loss: 10.4305 - mean_absolute_error: 2.4697 329/4840 [=>............................] - ETA: 4s - loss: 10.4488 - mean_absolute_error: 2.4681 382/4840 [=>............................] - ETA: 4s - loss: 10.4053 - mean_absolute_error: 2.4601 436/4840 [=>............................] - ETA: 4s - loss: 10.3363 - mean_absolute_error: 2.4519 489/4840 [==>...........................] - ETA: 4s - loss: 10.3656 - mean_absolute_error: 2.4571 544/4840 [==>...........................] - 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ETA: 2s - loss: 10.4518 - mean_absolute_error: 2.46011736/4840 [=========>....................] - ETA: 2s - loss: 10.4523 - mean_absolute_error: 2.45931791/4840 [==========>...................] - ETA: 2s - loss: 10.4679 - mean_absolute_error: 2.46231845/4840 [==========>...................] - ETA: 2s - loss: 10.4840 - mean_absolute_error: 2.46381897/4840 [==========>...................] - ETA: 2s - loss: 10.4948 - mean_absolute_error: 2.46541951/4840 [===========>..................] - ETA: 2s - loss: 10.5053 - mean_absolute_error: 2.46642004/4840 [===========>..................] - ETA: 2s - loss: 10.4955 - mean_absolute_error: 2.46542059/4840 [===========>..................] - ETA: 2s - loss: 10.5117 - mean_absolute_error: 2.46742112/4840 [============>.................] - ETA: 2s - loss: 10.5040 - mean_absolute_error: 2.46612167/4840 [============>.................] - ETA: 2s - loss: 10.5020 - mean_absolute_error: 2.46652222/4840 [============>.................] - ETA: 2s - loss: 10.4945 - 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ETA: 1s - loss: 10.5343 - mean_absolute_error: 2.46872872/4840 [================>.............] - ETA: 1s - loss: 10.5274 - mean_absolute_error: 2.46782927/4840 [=================>............] - ETA: 1s - loss: 10.5293 - mean_absolute_error: 2.46802978/4840 [=================>............] - ETA: 1s - loss: 10.5227 - mean_absolute_error: 2.46713030/4840 [=================>............] - ETA: 1s - loss: 10.5230 - mean_absolute_error: 2.46743083/4840 [==================>...........] - ETA: 1s - loss: 10.5368 - mean_absolute_error: 2.46923138/4840 [==================>...........] - ETA: 1s - loss: 10.5274 - mean_absolute_error: 2.46813191/4840 [==================>...........] - ETA: 1s - loss: 10.5292 - mean_absolute_error: 2.46823245/4840 [===================>..........] - ETA: 1s - loss: 10.5294 - mean_absolute_error: 2.46813299/4840 [===================>..........] - ETA: 1s - loss: 10.5237 - mean_absolute_error: 2.46733353/4840 [===================>..........] - ETA: 1s - loss: 10.5310 - mean_absolute_error: 2.46813408/4840 [====================>.........] - ETA: 1s - loss: 10.5306 - mean_absolute_error: 2.46833462/4840 [====================>.........] - ETA: 1s - loss: 10.5423 - mean_absolute_error: 2.47003516/4840 [====================>.........] - ETA: 1s - loss: 10.5470 - mean_absolute_error: 2.47033569/4840 [=====================>........] - ETA: 1s - loss: 10.5504 - mean_absolute_error: 2.47083623/4840 [=====================>........] - ETA: 1s - loss: 10.5525 - mean_absolute_error: 2.47123677/4840 [=====================>........] - ETA: 1s - loss: 10.5542 - mean_absolute_error: 2.47143732/4840 [======================>.......] - ETA: 1s - loss: 10.5563 - mean_absolute_error: 2.47143788/4840 [======================>.......] - ETA: 0s - loss: 10.5506 - mean_absolute_error: 2.47073843/4840 [======================>.......] - ETA: 0s - loss: 10.5524 - mean_absolute_error: 2.47123898/4840 [=======================>......] - ETA: 0s - loss: 10.5552 - mean_absolute_error: 2.47193954/4840 [=======================>......] - ETA: 0s - loss: 10.5569 - mean_absolute_error: 2.47214010/4840 [=======================>......] - ETA: 0s - loss: 10.5526 - mean_absolute_error: 2.47184064/4840 [========================>.....] - ETA: 0s - loss: 10.5477 - mean_absolute_error: 2.47094118/4840 [========================>.....] - ETA: 0s - loss: 10.5407 - mean_absolute_error: 2.47014174/4840 [========================>.....] - ETA: 0s - loss: 10.5371 - mean_absolute_error: 2.46984229/4840 [=========================>....] - ETA: 0s - loss: 10.5341 - mean_absolute_error: 2.46954283/4840 [=========================>....] - ETA: 0s - loss: 10.5432 - mean_absolute_error: 2.47094340/4840 [=========================>....] - ETA: 0s - loss: 10.5438 - mean_absolute_error: 2.47054393/4840 [==========================>...] - ETA: 0s - loss: 10.5442 - mean_absolute_error: 2.47084447/4840 [==========================>...] - ETA: 0s - loss: 10.5471 - mean_absolute_error: 2.47144502/4840 [==========================>...] - ETA: 0s - loss: 10.5523 - mean_absolute_error: 2.47194555/4840 [===========================>..] - ETA: 0s - loss: 10.5640 - mean_absolute_error: 2.47324610/4840 [===========================>..] - ETA: 0s - loss: 10.5605 - mean_absolute_error: 2.47274664/4840 [===========================>..] - ETA: 0s - loss: 10.5491 - mean_absolute_error: 2.47144716/4840 [============================>.] - ETA: 0s - loss: 10.5474 - mean_absolute_error: 2.47114770/4840 [============================>.] - ETA: 0s - loss: 10.5466 - mean_absolute_error: 2.47094824/4840 [============================>.] - ETA: 0s - loss: 10.5455 - mean_absolute_error: 2.47084840/4840 [==============================] - 5s 974us/step - loss: 10.5435 - mean_absolute_error: 2.4705 - val_loss: 11.4612 - val_mean_absolute_error: 2.5802
Epoch 26/100
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mean_absolute_error: 2.46964577/4840 [===========================>..] - ETA: 0s - loss: 10.5381 - mean_absolute_error: 2.47014630/4840 [===========================>..] - ETA: 0s - loss: 10.5342 - mean_absolute_error: 2.46954684/4840 [============================>.] - ETA: 0s - loss: 10.5433 - mean_absolute_error: 2.47044738/4840 [============================>.] - ETA: 0s - loss: 10.5413 - mean_absolute_error: 2.47014792/4840 [============================>.] - ETA: 0s - loss: 10.5423 - mean_absolute_error: 2.47024840/4840 [==============================] - 5s 971us/step - loss: 10.5365 - mean_absolute_error: 2.4691 - val_loss: 11.4604 - val_mean_absolute_error: 2.5807
Epoch 27/100
   1/4840 [..............................] - ETA: 9s - loss: 14.9402 - mean_absolute_error: 2.9654  55/4840 [..............................] - ETA: 4s - loss: 10.2489 - mean_absolute_error: 2.4528 110/4840 [..............................] - ETA: 4s - loss: 10.2980 - mean_absolute_error: 2.4511 162/4840 [>.............................] - ETA: 4s - loss: 10.4063 - mean_absolute_error: 2.4662 217/4840 [>.............................] - ETA: 4s - loss: 10.4390 - mean_absolute_error: 2.4650 272/4840 [>.............................] - ETA: 4s - loss: 10.3297 - mean_absolute_error: 2.4481 328/4840 [=>............................] - ETA: 4s - loss: 10.3174 - mean_absolute_error: 2.4436 383/4840 [=>............................] - ETA: 4s - loss: 10.3287 - mean_absolute_error: 2.4447 438/4840 [=>............................] - ETA: 4s - loss: 10.2879 - mean_absolute_error: 2.4403 494/4840 [==>...........................] - ETA: 3s - loss: 10.3803 - mean_absolute_error: 2.4518 549/4840 [==>...........................] - 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mean_absolute_error: 2.46673435/4840 [====================>.........] - ETA: 1s - loss: 10.5081 - mean_absolute_error: 2.46623489/4840 [====================>.........] - ETA: 1s - loss: 10.5161 - mean_absolute_error: 2.46743542/4840 [====================>.........] - ETA: 1s - loss: 10.5184 - mean_absolute_error: 2.46753596/4840 [=====================>........] - ETA: 1s - loss: 10.5195 - mean_absolute_error: 2.46763649/4840 [=====================>........] - ETA: 1s - loss: 10.5183 - mean_absolute_error: 2.46713703/4840 [=====================>........] - ETA: 1s - loss: 10.5158 - mean_absolute_error: 2.46693758/4840 [======================>.......] - ETA: 1s - loss: 10.5156 - mean_absolute_error: 2.46693812/4840 [======================>.......] - ETA: 0s - loss: 10.5194 - mean_absolute_error: 2.46723868/4840 [======================>.......] - ETA: 0s - loss: 10.5291 - mean_absolute_error: 2.46833923/4840 [=======================>......] - ETA: 0s - loss: 10.5272 - mean_absolute_error: 2.46763979/4840 [=======================>......] - 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mean_absolute_error: 2.46854577/4840 [===========================>..] - ETA: 0s - loss: 10.5272 - mean_absolute_error: 2.46804632/4840 [===========================>..] - ETA: 0s - loss: 10.5337 - mean_absolute_error: 2.46874686/4840 [============================>.] - ETA: 0s - loss: 10.5339 - mean_absolute_error: 2.46894741/4840 [============================>.] - ETA: 0s - loss: 10.5275 - mean_absolute_error: 2.46794795/4840 [============================>.] - ETA: 0s - loss: 10.5299 - mean_absolute_error: 2.46824840/4840 [==============================] - 5s 970us/step - loss: 10.5306 - mean_absolute_error: 2.4684 - val_loss: 11.4600 - val_mean_absolute_error: 2.5801
Epoch 28/100
   1/4840 [..............................] - ETA: 4s - loss: 7.6942 - mean_absolute_error: 2.0386  54/4840 [..............................] - ETA: 4s - loss: 9.8799 - mean_absolute_error: 2.3935 107/4840 [..............................] - ETA: 4s - loss: 10.3340 - mean_absolute_error: 2.4401 160/4840 [..............................] - ETA: 4s - loss: 10.5224 - mean_absolute_error: 2.4706 214/4840 [>.............................] - ETA: 4s - loss: 10.4630 - mean_absolute_error: 2.4558 267/4840 [>.............................] - ETA: 4s - loss: 10.4239 - mean_absolute_error: 2.4458 322/4840 [>.............................] - ETA: 4s - loss: 10.4758 - mean_absolute_error: 2.4509 375/4840 [=>............................] - ETA: 4s - loss: 10.5557 - mean_absolute_error: 2.4626 430/4840 [=>............................] - ETA: 4s - loss: 10.5297 - mean_absolute_error: 2.4630 484/4840 [==>...........................] - ETA: 4s - loss: 10.5193 - mean_absolute_error: 2.4606 539/4840 [==>...........................] - 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mean_absolute_error: 2.46332103/4840 [============>.................] - ETA: 2s - loss: 10.4945 - mean_absolute_error: 2.46342142/4840 [============>.................] - ETA: 2s - loss: 10.4880 - mean_absolute_error: 2.46262179/4840 [============>.................] - ETA: 2s - loss: 10.4887 - mean_absolute_error: 2.46302220/4840 [============>.................] - ETA: 2s - loss: 10.4894 - mean_absolute_error: 2.46372271/4840 [=============>................] - ETA: 2s - loss: 10.4840 - mean_absolute_error: 2.46292322/4840 [=============>................] - ETA: 2s - loss: 10.4837 - mean_absolute_error: 2.46262365/4840 [=============>................] - ETA: 2s - loss: 10.4841 - mean_absolute_error: 2.46232410/4840 [=============>................] - ETA: 2s - loss: 10.4850 - mean_absolute_error: 2.46202453/4840 [==============>...............] - ETA: 2s - loss: 10.4844 - mean_absolute_error: 2.46242495/4840 [==============>...............] - ETA: 2s - loss: 10.4767 - mean_absolute_error: 2.46182534/4840 [==============>...............] - 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mean_absolute_error: 2.46474046/4840 [========================>.....] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46494089/4840 [========================>.....] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46464136/4840 [========================>.....] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46444180/4840 [========================>.....] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46504230/4840 [=========================>....] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46464277/4840 [=========================>....] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46584324/4840 [=========================>....] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46554371/4840 [==========================>...] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46564414/4840 [==========================>...] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46524449/4840 [==========================>...] - ETA: 0s - loss: 10.5061 - mean_absolute_error: 2.46594475/4840 [==========================>...] - 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mean_absolute_error: 2.4682 - val_loss: 11.4598 - val_mean_absolute_error: 2.5805
Epoch 29/100
   1/4840 [..............................] - ETA: 9s - loss: 12.3502 - mean_absolute_error: 2.7401  49/4840 [..............................] - ETA: 5s - loss: 10.4910 - mean_absolute_error: 2.4579  99/4840 [..............................] - ETA: 4s - loss: 10.5985 - mean_absolute_error: 2.4926 149/4840 [..............................] - ETA: 4s - loss: 10.4781 - mean_absolute_error: 2.4709 195/4840 [>.............................] - ETA: 4s - loss: 10.4466 - mean_absolute_error: 2.4647 238/4840 [>.............................] - ETA: 4s - loss: 10.4467 - mean_absolute_error: 2.4642 261/4840 [>.............................] - ETA: 5s - loss: 10.4117 - mean_absolute_error: 2.4581 284/4840 [>.............................] - ETA: 5s - loss: 10.4274 - mean_absolute_error: 2.4604 311/4840 [>.............................] - ETA: 5s - loss: 10.5096 - mean_absolute_error: 2.4714 351/4840 [=>............................] - ETA: 5s - loss: 10.5531 - mean_absolute_error: 2.4753 390/4840 [=>............................] - 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ETA: 1s - loss: 10.4817 - mean_absolute_error: 2.46013707/4840 [=====================>........] - ETA: 1s - loss: 10.4845 - mean_absolute_error: 2.46053759/4840 [======================>.......] - ETA: 1s - loss: 10.4919 - mean_absolute_error: 2.46153811/4840 [======================>.......] - ETA: 1s - loss: 10.4972 - mean_absolute_error: 2.46243862/4840 [======================>.......] - ETA: 1s - loss: 10.4981 - mean_absolute_error: 2.46253897/4840 [=======================>......] - ETA: 1s - loss: 10.5016 - mean_absolute_error: 2.46303942/4840 [=======================>......] - ETA: 1s - loss: 10.5134 - mean_absolute_error: 2.46473992/4840 [=======================>......] - ETA: 1s - loss: 10.5051 - mean_absolute_error: 2.46384039/4840 [========================>.....] - ETA: 1s - loss: 10.5100 - mean_absolute_error: 2.46424087/4840 [========================>.....] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46344139/4840 [========================>.....] - ETA: 0s - loss: 10.5079 - 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ETA: 0s - loss: 10.5101 - mean_absolute_error: 2.46484607/4840 [===========================>..] - ETA: 0s - loss: 10.5119 - mean_absolute_error: 2.46514656/4840 [===========================>..] - ETA: 0s - loss: 10.5161 - mean_absolute_error: 2.46604704/4840 [============================>.] - ETA: 0s - loss: 10.5146 - mean_absolute_error: 2.46594755/4840 [============================>.] - ETA: 0s - loss: 10.5182 - mean_absolute_error: 2.46634803/4840 [============================>.] - ETA: 0s - loss: 10.5225 - mean_absolute_error: 2.46684840/4840 [==============================] - 6s 1ms/step - loss: 10.5212 - mean_absolute_error: 2.4668 - val_loss: 11.4617 - val_mean_absolute_error: 2.5809
Epoch 30/100
   1/4840 [..............................] - ETA: 4s - loss: 7.9287 - mean_absolute_error: 2.0043  54/4840 [..............................] - ETA: 4s - loss: 10.0873 - mean_absolute_error: 2.3872 108/4840 [..............................] - ETA: 4s - loss: 10.3191 - mean_absolute_error: 2.4215 161/4840 [..............................] - ETA: 4s - loss: 10.2348 - mean_absolute_error: 2.4179 215/4840 [>.............................] - ETA: 4s - loss: 10.2950 - mean_absolute_error: 2.4342 268/4840 [>.............................] - ETA: 4s - loss: 10.3608 - mean_absolute_error: 2.4435 321/4840 [>.............................] - ETA: 4s - loss: 10.3838 - mean_absolute_error: 2.4445 375/4840 [=>............................] - ETA: 4s - loss: 10.3936 - mean_absolute_error: 2.4468 429/4840 [=>............................] - ETA: 4s - loss: 10.4584 - mean_absolute_error: 2.4578 483/4840 [=>............................] - ETA: 4s - loss: 10.4832 - mean_absolute_error: 2.4617 537/4840 [==>...........................] - 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mean_absolute_error: 2.46654371/4840 [==========================>...] - ETA: 0s - loss: 10.5166 - mean_absolute_error: 2.46564425/4840 [==========================>...] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46434478/4840 [==========================>...] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46414532/4840 [===========================>..] - ETA: 0s - loss: 10.5076 - mean_absolute_error: 2.46444586/4840 [===========================>..] - ETA: 0s - loss: 10.5064 - mean_absolute_error: 2.46424639/4840 [===========================>..] - ETA: 0s - loss: 10.5068 - mean_absolute_error: 2.46474693/4840 [============================>.] - ETA: 0s - loss: 10.5074 - mean_absolute_error: 2.46484746/4840 [============================>.] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46474800/4840 [============================>.] - ETA: 0s - loss: 10.5175 - mean_absolute_error: 2.46634840/4840 [==============================] - 5s 1ms/step - loss: 10.5183 - mean_absolute_error: 2.4664 - val_loss: 11.4617 - val_mean_absolute_error: 2.5806
Epoch 31/100
   1/4840 [..............................] - ETA: 4s - loss: 9.5981 - mean_absolute_error: 2.2394  55/4840 [..............................] - ETA: 4s - loss: 10.6789 - mean_absolute_error: 2.4853 109/4840 [..............................] - ETA: 4s - loss: 10.7198 - mean_absolute_error: 2.4964 164/4840 [>.............................] - ETA: 4s - loss: 10.5473 - mean_absolute_error: 2.4664 218/4840 [>.............................] - ETA: 4s - loss: 10.4137 - mean_absolute_error: 2.4573 271/4840 [>.............................] - ETA: 4s - loss: 10.4780 - mean_absolute_error: 2.4606 325/4840 [=>............................] - ETA: 4s - loss: 10.5034 - mean_absolute_error: 2.4631 379/4840 [=>............................] - ETA: 4s - loss: 10.5095 - mean_absolute_error: 2.4648 432/4840 [=>............................] - ETA: 4s - loss: 10.4453 - mean_absolute_error: 2.4518 484/4840 [==>...........................] - ETA: 4s - loss: 10.4619 - mean_absolute_error: 2.4540 538/4840 [==>...........................] - 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ETA: 0s - loss: 10.5214 - mean_absolute_error: 2.46743930/4840 [=======================>......] - ETA: 0s - loss: 10.5222 - mean_absolute_error: 2.46783984/4840 [=======================>......] - ETA: 0s - loss: 10.5253 - mean_absolute_error: 2.46874039/4840 [========================>.....] - ETA: 0s - loss: 10.5159 - mean_absolute_error: 2.46714092/4840 [========================>.....] - ETA: 0s - loss: 10.5122 - mean_absolute_error: 2.46684146/4840 [========================>.....] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46594199/4840 [=========================>....] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46584253/4840 [=========================>....] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.46524303/4840 [=========================>....] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46604350/4840 [=========================>....] - ETA: 0s - loss: 10.5124 - mean_absolute_error: 2.46664395/4840 [==========================>...] - ETA: 0s - loss: 10.5141 - mean_absolute_error: 2.46704448/4840 [==========================>...] - ETA: 0s - loss: 10.5227 - mean_absolute_error: 2.46814494/4840 [==========================>...] - ETA: 0s - loss: 10.5156 - mean_absolute_error: 2.46704545/4840 [===========================>..] - ETA: 0s - loss: 10.5233 - mean_absolute_error: 2.46774595/4840 [===========================>..] - ETA: 0s - loss: 10.5238 - mean_absolute_error: 2.46754643/4840 [===========================>..] - ETA: 0s - loss: 10.5218 - mean_absolute_error: 2.46694684/4840 [============================>.] - ETA: 0s - loss: 10.5250 - mean_absolute_error: 2.46734734/4840 [============================>.] - ETA: 0s - loss: 10.5213 - mean_absolute_error: 2.46684785/4840 [============================>.] - ETA: 0s - loss: 10.5237 - mean_absolute_error: 2.46724834/4840 [============================>.] - ETA: 0s - loss: 10.5153 - mean_absolute_error: 2.46634840/4840 [==============================] - 5s 1ms/step - loss: 10.5153 - mean_absolute_error: 2.4664 - val_loss: 11.4613 - val_mean_absolute_error: 2.5800
Epoch 32/100
   1/4840 [..............................] - ETA: 4s - loss: 12.3750 - mean_absolute_error: 2.6849  49/4840 [..............................] - ETA: 4s - loss: 11.0166 - mean_absolute_error: 2.5298 101/4840 [..............................] - ETA: 4s - loss: 10.8449 - mean_absolute_error: 2.4976 151/4840 [..............................] - ETA: 4s - loss: 10.6397 - mean_absolute_error: 2.4777 198/4840 [>.............................] - ETA: 4s - loss: 10.5349 - mean_absolute_error: 2.4599 237/4840 [>.............................] - ETA: 4s - loss: 10.5010 - mean_absolute_error: 2.4627 276/4840 [>.............................] - ETA: 5s - loss: 10.5504 - mean_absolute_error: 2.4670 325/4840 [=>............................] - ETA: 4s - loss: 10.5427 - mean_absolute_error: 2.4638 377/4840 [=>............................] - ETA: 4s - loss: 10.5594 - mean_absolute_error: 2.4655 428/4840 [=>............................] - ETA: 4s - loss: 10.5207 - mean_absolute_error: 2.4591 470/4840 [=>............................] - ETA: 4s - loss: 10.4841 - mean_absolute_error: 2.4569 510/4840 [==>...........................] - ETA: 4s - loss: 10.4640 - mean_absolute_error: 2.4561 557/4840 [==>...........................] - ETA: 4s - loss: 10.4236 - mean_absolute_error: 2.4480 591/4840 [==>...........................] - ETA: 4s - loss: 10.3678 - mean_absolute_error: 2.4418 625/4840 [==>...........................] - ETA: 4s - loss: 10.3762 - mean_absolute_error: 2.4415 666/4840 [===>..........................] - ETA: 4s - loss: 10.3632 - mean_absolute_error: 2.4399 719/4840 [===>..........................] - ETA: 4s - loss: 10.3377 - mean_absolute_error: 2.4382 772/4840 [===>..........................] - ETA: 4s - loss: 10.3203 - mean_absolute_error: 2.4362 826/4840 [====>.........................] - ETA: 4s - loss: 10.3188 - mean_absolute_error: 2.4356 880/4840 [====>.........................] - ETA: 4s - loss: 10.3004 - mean_absolute_error: 2.4331 932/4840 [====>.........................] - ETA: 4s - loss: 10.3009 - mean_absolute_error: 2.4321 981/4840 [=====>........................] - ETA: 4s - loss: 10.3328 - mean_absolute_error: 2.43651035/4840 [=====>........................] - ETA: 4s - loss: 10.3757 - mean_absolute_error: 2.44321089/4840 [=====>........................] - ETA: 3s - loss: 10.4399 - mean_absolute_error: 2.45171141/4840 [======>.......................] - ETA: 3s - loss: 10.4679 - mean_absolute_error: 2.45481194/4840 [======>.......................] - ETA: 3s - loss: 10.4518 - mean_absolute_error: 2.45341248/4840 [======>.......................] - ETA: 3s - loss: 10.4510 - mean_absolute_error: 2.45241302/4840 [=======>......................] - ETA: 3s - loss: 10.4671 - mean_absolute_error: 2.45391356/4840 [=======>......................] - ETA: 3s - loss: 10.4763 - mean_absolute_error: 2.45541410/4840 [=======>......................] - ETA: 3s - loss: 10.5146 - mean_absolute_error: 2.46071463/4840 [========>.....................] - ETA: 3s - loss: 10.5434 - mean_absolute_error: 2.46441517/4840 [========>.....................] - ETA: 3s - loss: 10.5250 - mean_absolute_error: 2.46171569/4840 [========>.....................] - ETA: 3s - loss: 10.5060 - mean_absolute_error: 2.46011620/4840 [=========>....................] - ETA: 3s - loss: 10.4997 - mean_absolute_error: 2.45981673/4840 [=========>....................] - ETA: 3s - loss: 10.5038 - mean_absolute_error: 2.46021724/4840 [=========>....................] - ETA: 3s - loss: 10.5056 - mean_absolute_error: 2.46041776/4840 [==========>...................] - ETA: 3s - loss: 10.4928 - mean_absolute_error: 2.45921828/4840 [==========>...................] - ETA: 3s - loss: 10.4807 - mean_absolute_error: 2.45811879/4840 [==========>...................] - ETA: 3s - loss: 10.4904 - mean_absolute_error: 2.45961933/4840 [==========>...................] - ETA: 2s - loss: 10.5018 - mean_absolute_error: 2.46071987/4840 [===========>..................] - ETA: 2s - loss: 10.5134 - mean_absolute_error: 2.46262040/4840 [===========>..................] - ETA: 2s - loss: 10.5198 - 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mean_absolute_error: 2.46574347/4840 [=========================>....] - ETA: 0s - loss: 10.5175 - mean_absolute_error: 2.46544400/4840 [==========================>...] - ETA: 0s - loss: 10.5132 - mean_absolute_error: 2.46504452/4840 [==========================>...] - ETA: 0s - loss: 10.5090 - mean_absolute_error: 2.46444505/4840 [==========================>...] - ETA: 0s - loss: 10.5065 - mean_absolute_error: 2.46414558/4840 [===========================>..] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46424611/4840 [===========================>..] - ETA: 0s - loss: 10.5116 - mean_absolute_error: 2.46504665/4840 [===========================>..] - ETA: 0s - loss: 10.5104 - mean_absolute_error: 2.46504719/4840 [============================>.] - ETA: 0s - loss: 10.5139 - mean_absolute_error: 2.46554773/4840 [============================>.] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46484827/4840 [============================>.] - ETA: 0s - loss: 10.5123 - mean_absolute_error: 2.46534840/4840 [==============================] - 5s 1ms/step - loss: 10.5131 - mean_absolute_error: 2.4654 - val_loss: 11.4628 - val_mean_absolute_error: 2.5797
Epoch 33/100
   1/4840 [..............................] - ETA: 9s - loss: 9.7225 - mean_absolute_error: 2.5529  54/4840 [..............................] - ETA: 4s - loss: 10.0714 - mean_absolute_error: 2.4174 106/4840 [..............................] - ETA: 4s - loss: 10.2820 - mean_absolute_error: 2.4591 158/4840 [..............................] - ETA: 4s - loss: 10.2634 - mean_absolute_error: 2.4561 211/4840 [>.............................] - ETA: 4s - loss: 10.3101 - mean_absolute_error: 2.4601 264/4840 [>.............................] - ETA: 4s - loss: 10.3338 - mean_absolute_error: 2.4576 319/4840 [>.............................] - ETA: 4s - loss: 10.2893 - mean_absolute_error: 2.4485 371/4840 [=>............................] - ETA: 4s - loss: 10.3183 - mean_absolute_error: 2.4493 426/4840 [=>............................] - ETA: 4s - loss: 10.3145 - mean_absolute_error: 2.4496 478/4840 [=>............................] - ETA: 4s - loss: 10.3283 - mean_absolute_error: 2.4505 532/4840 [==>...........................] - 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mean_absolute_error: 2.46454470/4840 [==========================>...] - ETA: 0s - loss: 10.5097 - mean_absolute_error: 2.46424524/4840 [===========================>..] - ETA: 0s - loss: 10.5096 - mean_absolute_error: 2.46434579/4840 [===========================>..] - ETA: 0s - loss: 10.5144 - mean_absolute_error: 2.46494633/4840 [===========================>..] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46334687/4840 [============================>.] - ETA: 0s - loss: 10.5105 - mean_absolute_error: 2.46404740/4840 [============================>.] - ETA: 0s - loss: 10.5102 - mean_absolute_error: 2.46394793/4840 [============================>.] - ETA: 0s - loss: 10.5118 - mean_absolute_error: 2.46444840/4840 [==============================] - 5s 995us/step - loss: 10.5124 - mean_absolute_error: 2.4643 - val_loss: 11.4670 - val_mean_absolute_error: 2.5804
Epoch 34/100
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Epoch 35/100
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mean_absolute_error: 2.46494839/4840 [============================>.] - ETA: 0s - loss: 10.5093 - mean_absolute_error: 2.46434840/4840 [==============================] - 6s 1ms/step - loss: 10.5087 - mean_absolute_error: 2.4642 - val_loss: 11.4684 - val_mean_absolute_error: 2.5795
Epoch 36/100
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mean_absolute_error: 2.45253127/4840 [==================>...........] - ETA: 1s - loss: 10.4464 - mean_absolute_error: 2.45443181/4840 [==================>...........] - ETA: 1s - loss: 10.4430 - mean_absolute_error: 2.45413234/4840 [===================>..........] - ETA: 1s - loss: 10.4508 - mean_absolute_error: 2.45533287/4840 [===================>..........] - ETA: 1s - loss: 10.4620 - mean_absolute_error: 2.45683339/4840 [===================>..........] - ETA: 1s - loss: 10.4618 - mean_absolute_error: 2.45623391/4840 [====================>.........] - ETA: 1s - loss: 10.4555 - mean_absolute_error: 2.45533444/4840 [====================>.........] - ETA: 1s - loss: 10.4576 - mean_absolute_error: 2.45563494/4840 [====================>.........] - ETA: 1s - loss: 10.4577 - mean_absolute_error: 2.45513535/4840 [====================>.........] - ETA: 1s - loss: 10.4600 - mean_absolute_error: 2.45523585/4840 [=====================>........] - ETA: 1s - loss: 10.4643 - mean_absolute_error: 2.45593628/4840 [=====================>........] - 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ETA: 0s - loss: 10.5161 - mean_absolute_error: 2.46394781/4840 [============================>.] - ETA: 0s - loss: 10.5145 - mean_absolute_error: 2.46364834/4840 [============================>.] - ETA: 0s - loss: 10.5085 - mean_absolute_error: 2.46304840/4840 [==============================] - 5s 1ms/step - loss: 10.5083 - mean_absolute_error: 2.4630 - val_loss: 11.4690 - val_mean_absolute_error: 2.5803
Epoch 37/100
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mean_absolute_error: 2.46204430/4840 [==========================>...] - ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.46224484/4840 [==========================>...] - ETA: 0s - loss: 10.4948 - mean_absolute_error: 2.46224536/4840 [===========================>..] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.46214589/4840 [===========================>..] - ETA: 0s - loss: 10.4941 - mean_absolute_error: 2.46224643/4840 [===========================>..] - ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.46174697/4840 [============================>.] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46324750/4840 [============================>.] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46374803/4840 [============================>.] - ETA: 0s - loss: 10.5057 - mean_absolute_error: 2.46374840/4840 [==============================] - 5s 998us/step - loss: 10.5074 - mean_absolute_error: 2.4641 - val_loss: 11.4708 - val_mean_absolute_error: 2.5799
Epoch 38/100
   1/4840 [..............................] - ETA: 9s - loss: 7.5041 - mean_absolute_error: 2.1545  54/4840 [..............................] - ETA: 4s - loss: 10.5606 - mean_absolute_error: 2.4665 108/4840 [..............................] - ETA: 4s - loss: 10.5465 - mean_absolute_error: 2.4540 161/4840 [..............................] - ETA: 4s - loss: 10.5531 - mean_absolute_error: 2.4533 214/4840 [>.............................] - ETA: 4s - loss: 10.4920 - mean_absolute_error: 2.4457 267/4840 [>.............................] - ETA: 4s - loss: 10.4482 - mean_absolute_error: 2.4415 322/4840 [>.............................] - ETA: 4s - loss: 10.3754 - mean_absolute_error: 2.4346 377/4840 [=>............................] - ETA: 4s - loss: 10.4871 - mean_absolute_error: 2.4523 432/4840 [=>............................] - ETA: 4s - loss: 10.4521 - mean_absolute_error: 2.4482 486/4840 [==>...........................] - ETA: 4s - loss: 10.3724 - mean_absolute_error: 2.4368 540/4840 [==>...........................] - 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mean_absolute_error: 2.44011127/4840 [=====>........................] - ETA: 3s - loss: 10.3464 - mean_absolute_error: 2.44061180/4840 [======>.......................] - ETA: 3s - loss: 10.3316 - mean_absolute_error: 2.43741234/4840 [======>.......................] - ETA: 3s - loss: 10.3397 - mean_absolute_error: 2.43761288/4840 [======>.......................] - ETA: 3s - loss: 10.3430 - mean_absolute_error: 2.43731340/4840 [=======>......................] - ETA: 3s - loss: 10.3442 - mean_absolute_error: 2.43781395/4840 [=======>......................] - ETA: 3s - loss: 10.3412 - mean_absolute_error: 2.43821448/4840 [=======>......................] - ETA: 3s - loss: 10.3637 - mean_absolute_error: 2.44151501/4840 [========>.....................] - ETA: 3s - loss: 10.3882 - mean_absolute_error: 2.44491555/4840 [========>.....................] - ETA: 3s - loss: 10.3834 - mean_absolute_error: 2.44431609/4840 [========>.....................] - ETA: 3s - loss: 10.3830 - mean_absolute_error: 2.44471663/4840 [=========>....................] - 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mean_absolute_error: 2.45422237/4840 [============>.................] - ETA: 2s - loss: 10.4462 - mean_absolute_error: 2.45532291/4840 [=============>................] - ETA: 2s - loss: 10.4580 - mean_absolute_error: 2.45662342/4840 [=============>................] - ETA: 2s - loss: 10.4708 - mean_absolute_error: 2.45862396/4840 [=============>................] - ETA: 2s - loss: 10.4633 - mean_absolute_error: 2.45772450/4840 [==============>...............] - ETA: 2s - loss: 10.4741 - mean_absolute_error: 2.45882505/4840 [==============>...............] - ETA: 2s - loss: 10.4602 - mean_absolute_error: 2.45722558/4840 [==============>...............] - ETA: 2s - loss: 10.4621 - mean_absolute_error: 2.45732612/4840 [===============>..............] - ETA: 2s - loss: 10.4618 - mean_absolute_error: 2.45712664/4840 [===============>..............] - ETA: 2s - loss: 10.4696 - mean_absolute_error: 2.45852716/4840 [===============>..............] - ETA: 2s - loss: 10.4769 - mean_absolute_error: 2.45902770/4840 [================>.............] - ETA: 1s - loss: 10.4871 - mean_absolute_error: 2.45992822/4840 [================>.............] - ETA: 1s - loss: 10.4842 - mean_absolute_error: 2.45952873/4840 [================>.............] - ETA: 1s - loss: 10.4887 - mean_absolute_error: 2.45992927/4840 [=================>............] - ETA: 1s - loss: 10.4833 - mean_absolute_error: 2.45912980/4840 [=================>............] - ETA: 1s - loss: 10.4911 - mean_absolute_error: 2.45993034/4840 [=================>............] - ETA: 1s - loss: 10.4887 - mean_absolute_error: 2.45923089/4840 [==================>...........] - ETA: 1s - loss: 10.4783 - mean_absolute_error: 2.45853143/4840 [==================>...........] - ETA: 1s - loss: 10.4811 - mean_absolute_error: 2.45863197/4840 [==================>...........] - ETA: 1s - loss: 10.4803 - mean_absolute_error: 2.45813251/4840 [===================>..........] - ETA: 1s - loss: 10.4804 - mean_absolute_error: 2.45853304/4840 [===================>..........] - ETA: 1s - loss: 10.4768 - mean_absolute_error: 2.45813358/4840 [===================>..........] - ETA: 1s - loss: 10.4802 - mean_absolute_error: 2.45883411/4840 [====================>.........] - ETA: 1s - loss: 10.4776 - mean_absolute_error: 2.45843465/4840 [====================>.........] - ETA: 1s - loss: 10.4689 - mean_absolute_error: 2.45783519/4840 [====================>.........] - ETA: 1s - loss: 10.4741 - mean_absolute_error: 2.45853572/4840 [=====================>........] - ETA: 1s - loss: 10.4656 - mean_absolute_error: 2.45783625/4840 [=====================>........] - ETA: 1s - loss: 10.4743 - mean_absolute_error: 2.45923680/4840 [=====================>........] - ETA: 1s - loss: 10.4718 - mean_absolute_error: 2.45873734/4840 [======================>.......] - ETA: 1s - loss: 10.4799 - mean_absolute_error: 2.46003788/4840 [======================>.......] - ETA: 0s - loss: 10.4854 - mean_absolute_error: 2.46063842/4840 [======================>.......] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.46163896/4840 [=======================>......] - ETA: 0s - loss: 10.4991 - mean_absolute_error: 2.46203950/4840 [=======================>......] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46194004/4840 [=======================>......] - ETA: 0s - loss: 10.5032 - mean_absolute_error: 2.46254057/4840 [========================>.....] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46224111/4840 [========================>.....] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46214164/4840 [========================>.....] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46264217/4840 [=========================>....] - ETA: 0s - loss: 10.4957 - mean_absolute_error: 2.46134272/4840 [=========================>....] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46254326/4840 [=========================>....] - ETA: 0s - loss: 10.5087 - mean_absolute_error: 2.46314380/4840 [==========================>...] - ETA: 0s - loss: 10.5120 - mean_absolute_error: 2.46394434/4840 [==========================>...] - ETA: 0s - loss: 10.5111 - mean_absolute_error: 2.46384488/4840 [==========================>...] - ETA: 0s - loss: 10.5061 - mean_absolute_error: 2.46334541/4840 [===========================>..] - ETA: 0s - loss: 10.5129 - mean_absolute_error: 2.46414594/4840 [===========================>..] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46264646/4840 [===========================>..] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46234700/4840 [============================>.] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46214753/4840 [============================>.] - ETA: 0s - loss: 10.4983 - mean_absolute_error: 2.46254805/4840 [============================>.] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46274840/4840 [==============================] - 5s 989us/step - loss: 10.5064 - mean_absolute_error: 2.4633 - val_loss: 11.4718 - val_mean_absolute_error: 2.5802
Epoch 39/100
   1/4840 [..............................] - ETA: 9s - loss: 6.7023 - mean_absolute_error: 2.0127  53/4840 [..............................] - ETA: 4s - loss: 10.3709 - mean_absolute_error: 2.4476 107/4840 [..............................] - ETA: 4s - loss: 10.6794 - mean_absolute_error: 2.4805 160/4840 [..............................] - ETA: 4s - loss: 10.7041 - mean_absolute_error: 2.4913 213/4840 [>.............................] - ETA: 4s - loss: 10.6043 - mean_absolute_error: 2.4819 266/4840 [>.............................] - ETA: 4s - loss: 10.5500 - mean_absolute_error: 2.4686 319/4840 [>.............................] - ETA: 4s - loss: 10.5561 - mean_absolute_error: 2.4744 372/4840 [=>............................] - ETA: 4s - loss: 10.4482 - mean_absolute_error: 2.4604 426/4840 [=>............................] - ETA: 4s - loss: 10.5703 - mean_absolute_error: 2.4756 480/4840 [=>............................] - ETA: 4s - loss: 10.5393 - mean_absolute_error: 2.4757 534/4840 [==>...........................] - 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mean_absolute_error: 2.44652242/4840 [============>.................] - ETA: 2s - loss: 10.3642 - mean_absolute_error: 2.44792296/4840 [=============>................] - ETA: 2s - loss: 10.3635 - mean_absolute_error: 2.44772350/4840 [=============>................] - ETA: 2s - loss: 10.3661 - mean_absolute_error: 2.44822389/4840 [=============>................] - ETA: 2s - loss: 10.3762 - mean_absolute_error: 2.44882434/4840 [==============>...............] - ETA: 2s - loss: 10.3810 - mean_absolute_error: 2.44902488/4840 [==============>...............] - ETA: 2s - loss: 10.3765 - mean_absolute_error: 2.44792542/4840 [==============>...............] - ETA: 2s - loss: 10.3830 - mean_absolute_error: 2.44882588/4840 [===============>..............] - ETA: 2s - loss: 10.3833 - mean_absolute_error: 2.44842633/4840 [===============>..............] - ETA: 2s - loss: 10.3904 - mean_absolute_error: 2.44852676/4840 [===============>..............] - ETA: 2s - loss: 10.3998 - mean_absolute_error: 2.44952703/4840 [===============>..............] - 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mean_absolute_error: 2.45493833/4840 [======================>.......] - ETA: 1s - loss: 10.4516 - mean_absolute_error: 2.45583876/4840 [=======================>......] - ETA: 1s - loss: 10.4547 - mean_absolute_error: 2.45603922/4840 [=======================>......] - ETA: 1s - loss: 10.4613 - mean_absolute_error: 2.45663971/4840 [=======================>......] - ETA: 0s - loss: 10.4714 - mean_absolute_error: 2.45794015/4840 [=======================>......] - ETA: 0s - loss: 10.4702 - mean_absolute_error: 2.45794064/4840 [========================>.....] - ETA: 0s - loss: 10.4842 - mean_absolute_error: 2.45974115/4840 [========================>.....] - ETA: 0s - loss: 10.4804 - mean_absolute_error: 2.45964166/4840 [========================>.....] - ETA: 0s - loss: 10.4840 - mean_absolute_error: 2.46014217/4840 [=========================>....] - ETA: 0s - loss: 10.4799 - mean_absolute_error: 2.45994266/4840 [=========================>....] - ETA: 0s - loss: 10.4863 - mean_absolute_error: 2.46084314/4840 [=========================>....] - ETA: 0s - loss: 10.4893 - mean_absolute_error: 2.46144364/4840 [==========================>...] - ETA: 0s - loss: 10.4985 - mean_absolute_error: 2.46264415/4840 [==========================>...] - ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.46134464/4840 [==========================>...] - ETA: 0s - loss: 10.4867 - mean_absolute_error: 2.46074514/4840 [==========================>...] - ETA: 0s - loss: 10.4916 - mean_absolute_error: 2.46104563/4840 [===========================>..] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.46124613/4840 [===========================>..] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46174664/4840 [===========================>..] - ETA: 0s - loss: 10.4925 - mean_absolute_error: 2.46084717/4840 [============================>.] - ETA: 0s - loss: 10.4996 - mean_absolute_error: 2.46154768/4840 [============================>.] - ETA: 0s - loss: 10.5027 - mean_absolute_error: 2.46224819/4840 [============================>.] - ETA: 0s - loss: 10.5064 - mean_absolute_error: 2.46274840/4840 [==============================] - 5s 1ms/step - loss: 10.5064 - mean_absolute_error: 2.4625 - val_loss: 11.4750 - val_mean_absolute_error: 2.5812
Epoch 40/100
   1/4840 [..............................] - ETA: 9s - loss: 9.7052 - mean_absolute_error: 2.2637  49/4840 [..............................] - ETA: 5s - loss: 10.6710 - mean_absolute_error: 2.4792  97/4840 [..............................] - ETA: 5s - loss: 10.6402 - mean_absolute_error: 2.4850 144/4840 [..............................] - ETA: 5s - loss: 10.6310 - mean_absolute_error: 2.4897 194/4840 [>.............................] - ETA: 4s - loss: 10.5986 - mean_absolute_error: 2.4831 241/4840 [>.............................] - ETA: 4s - loss: 10.5645 - mean_absolute_error: 2.4792 288/4840 [>.............................] - ETA: 4s - loss: 10.5151 - mean_absolute_error: 2.4720 337/4840 [=>............................] - ETA: 4s - loss: 10.4925 - mean_absolute_error: 2.4674 387/4840 [=>............................] - ETA: 4s - loss: 10.4250 - mean_absolute_error: 2.4618 440/4840 [=>............................] - ETA: 4s - loss: 10.4148 - mean_absolute_error: 2.4595 492/4840 [==>...........................] - 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mean_absolute_error: 2.44601038/4840 [=====>........................] - ETA: 3s - loss: 10.3697 - mean_absolute_error: 2.44741088/4840 [=====>........................] - ETA: 3s - loss: 10.3930 - mean_absolute_error: 2.44851137/4840 [======>.......................] - ETA: 3s - loss: 10.3782 - mean_absolute_error: 2.44621187/4840 [======>.......................] - ETA: 3s - loss: 10.3723 - mean_absolute_error: 2.44621238/4840 [======>.......................] - ETA: 3s - loss: 10.3762 - mean_absolute_error: 2.44731289/4840 [======>.......................] - ETA: 3s - loss: 10.3848 - mean_absolute_error: 2.44751338/4840 [=======>......................] - ETA: 3s - loss: 10.3616 - mean_absolute_error: 2.44471390/4840 [=======>......................] - ETA: 3s - loss: 10.3854 - mean_absolute_error: 2.44801439/4840 [=======>......................] - ETA: 3s - loss: 10.3879 - mean_absolute_error: 2.44751491/4840 [========>.....................] - ETA: 3s - loss: 10.3910 - mean_absolute_error: 2.44821542/4840 [========>.....................] - ETA: 3s - loss: 10.4138 - mean_absolute_error: 2.45151587/4840 [========>.....................] - ETA: 3s - loss: 10.4219 - mean_absolute_error: 2.45211636/4840 [=========>....................] - ETA: 3s - loss: 10.4187 - mean_absolute_error: 2.45091683/4840 [=========>....................] - ETA: 3s - loss: 10.4428 - mean_absolute_error: 2.45351733/4840 [=========>....................] - ETA: 3s - loss: 10.4448 - mean_absolute_error: 2.45391783/4840 [==========>...................] - ETA: 3s - loss: 10.4324 - mean_absolute_error: 2.45181834/4840 [==========>...................] - ETA: 3s - loss: 10.4188 - mean_absolute_error: 2.44991887/4840 [==========>...................] - ETA: 2s - loss: 10.4125 - mean_absolute_error: 2.44861939/4840 [===========>..................] - ETA: 2s - loss: 10.4333 - mean_absolute_error: 2.45151989/4840 [===========>..................] - ETA: 2s - loss: 10.4229 - mean_absolute_error: 2.45012036/4840 [===========>..................] - ETA: 2s - loss: 10.4225 - mean_absolute_error: 2.45022088/4840 [===========>..................] - ETA: 2s - loss: 10.4260 - mean_absolute_error: 2.45132138/4840 [============>.................] - ETA: 2s - loss: 10.4001 - mean_absolute_error: 2.44792187/4840 [============>.................] - ETA: 2s - loss: 10.4186 - mean_absolute_error: 2.44952232/4840 [============>.................] - ETA: 2s - loss: 10.4440 - mean_absolute_error: 2.45302281/4840 [=============>................] - ETA: 2s - loss: 10.4561 - mean_absolute_error: 2.45442330/4840 [=============>................] - ETA: 2s - loss: 10.4555 - mean_absolute_error: 2.45462377/4840 [=============>................] - ETA: 2s - loss: 10.4424 - mean_absolute_error: 2.45312423/4840 [==============>...............] - ETA: 2s - loss: 10.4312 - mean_absolute_error: 2.45182472/4840 [==============>...............] - ETA: 2s - loss: 10.4354 - mean_absolute_error: 2.45242519/4840 [==============>...............] - ETA: 2s - loss: 10.4384 - mean_absolute_error: 2.45192565/4840 [==============>...............] - 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mean_absolute_error: 2.45833100/4840 [==================>...........] - ETA: 1s - loss: 10.4665 - mean_absolute_error: 2.45803149/4840 [==================>...........] - ETA: 1s - loss: 10.4639 - mean_absolute_error: 2.45753201/4840 [==================>...........] - ETA: 1s - loss: 10.4714 - mean_absolute_error: 2.45833252/4840 [===================>..........] - ETA: 1s - loss: 10.4714 - mean_absolute_error: 2.45853301/4840 [===================>..........] - ETA: 1s - loss: 10.4664 - mean_absolute_error: 2.45803349/4840 [===================>..........] - ETA: 1s - loss: 10.4665 - mean_absolute_error: 2.45773400/4840 [====================>.........] - ETA: 1s - loss: 10.4676 - mean_absolute_error: 2.45773451/4840 [====================>.........] - ETA: 1s - loss: 10.4808 - mean_absolute_error: 2.45963501/4840 [====================>.........] - ETA: 1s - loss: 10.4814 - mean_absolute_error: 2.45953551/4840 [=====================>........] - ETA: 1s - loss: 10.4788 - mean_absolute_error: 2.45933600/4840 [=====================>........] - ETA: 1s - loss: 10.4858 - mean_absolute_error: 2.46043651/4840 [=====================>........] - ETA: 1s - loss: 10.4903 - mean_absolute_error: 2.46093702/4840 [=====================>........] - ETA: 1s - loss: 10.4909 - mean_absolute_error: 2.46063756/4840 [======================>.......] - ETA: 1s - loss: 10.4948 - mean_absolute_error: 2.46083809/4840 [======================>.......] - ETA: 1s - loss: 10.4955 - mean_absolute_error: 2.46103860/4840 [======================>.......] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.46083913/4840 [=======================>......] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46203966/4840 [=======================>......] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46244018/4840 [=======================>......] - ETA: 0s - loss: 10.5093 - mean_absolute_error: 2.46294072/4840 [========================>.....] - ETA: 0s - loss: 10.5103 - mean_absolute_error: 2.46304126/4840 [========================>.....] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46234180/4840 [========================>.....] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46134231/4840 [=========================>....] - ETA: 0s - loss: 10.4913 - mean_absolute_error: 2.46064285/4840 [=========================>....] - ETA: 0s - loss: 10.4913 - mean_absolute_error: 2.46054339/4840 [=========================>....] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.46074392/4840 [==========================>...] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.46144445/4840 [==========================>...] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.46174500/4840 [==========================>...] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46244554/4840 [===========================>..] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46264608/4840 [===========================>..] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.46134662/4840 [===========================>..] - ETA: 0s - loss: 10.4958 - mean_absolute_error: 2.46174715/4840 [============================>.] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46234768/4840 [============================>.] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.46234821/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46324840/4840 [==============================] - 5s 1ms/step - loss: 10.5049 - mean_absolute_error: 2.4634 - val_loss: 11.4738 - val_mean_absolute_error: 2.5810
Epoch 41/100
   1/4840 [..............................] - ETA: 4s - loss: 16.0905 - mean_absolute_error: 3.0479  54/4840 [..............................] - ETA: 4s - loss: 10.3355 - mean_absolute_error: 2.4247 108/4840 [..............................] - ETA: 4s - loss: 10.5045 - mean_absolute_error: 2.4584 161/4840 [..............................] - ETA: 4s - loss: 10.5469 - mean_absolute_error: 2.4570 214/4840 [>.............................] - ETA: 4s - loss: 10.4829 - mean_absolute_error: 2.4596 266/4840 [>.............................] - ETA: 4s - loss: 10.4964 - mean_absolute_error: 2.4608 318/4840 [>.............................] - ETA: 4s - loss: 10.4947 - mean_absolute_error: 2.4624 368/4840 [=>............................] - ETA: 4s - loss: 10.4404 - mean_absolute_error: 2.4548 417/4840 [=>............................] - ETA: 4s - loss: 10.4161 - mean_absolute_error: 2.4558 466/4840 [=>............................] - ETA: 4s - loss: 10.3470 - mean_absolute_error: 2.4463 515/4840 [==>...........................] - 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ETA: 0s - loss: 10.4912 - mean_absolute_error: 2.46213858/4840 [======================>.......] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.46203909/4840 [=======================>......] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46293964/4840 [=======================>......] - ETA: 0s - loss: 10.4943 - mean_absolute_error: 2.46234017/4840 [=======================>......] - ETA: 0s - loss: 10.4871 - mean_absolute_error: 2.46114071/4840 [========================>.....] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.46144125/4840 [========================>.....] - ETA: 0s - loss: 10.4798 - mean_absolute_error: 2.46044178/4840 [========================>.....] - ETA: 0s - loss: 10.4817 - mean_absolute_error: 2.46064231/4840 [=========================>....] - ETA: 0s - loss: 10.4820 - mean_absolute_error: 2.46054286/4840 [=========================>....] - ETA: 0s - loss: 10.4801 - mean_absolute_error: 2.46034339/4840 [=========================>....] - ETA: 0s - loss: 10.4896 - mean_absolute_error: 2.46144394/4840 [==========================>...] - ETA: 0s - loss: 10.4915 - mean_absolute_error: 2.46154448/4840 [==========================>...] - ETA: 0s - loss: 10.4854 - mean_absolute_error: 2.46064502/4840 [==========================>...] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46254556/4840 [===========================>..] - ETA: 0s - loss: 10.4914 - mean_absolute_error: 2.46184611/4840 [===========================>..] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.46144664/4840 [===========================>..] - ETA: 0s - loss: 10.4893 - mean_absolute_error: 2.46164717/4840 [============================>.] - ETA: 0s - loss: 10.4934 - mean_absolute_error: 2.46214770/4840 [============================>.] - ETA: 0s - loss: 10.4929 - mean_absolute_error: 2.46224824/4840 [============================>.] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46344840/4840 [==============================] - 5s 1ms/step - loss: 10.5046 - mean_absolute_error: 2.4638 - val_loss: 11.4745 - val_mean_absolute_error: 2.5801
Epoch 42/100
   1/4840 [..............................] - ETA: 9s - loss: 8.5732 - mean_absolute_error: 2.4067  54/4840 [..............................] - ETA: 4s - loss: 10.4465 - mean_absolute_error: 2.4587 107/4840 [..............................] - ETA: 4s - loss: 10.3886 - mean_absolute_error: 2.4406 160/4840 [..............................] - ETA: 4s - loss: 10.4284 - mean_absolute_error: 2.4417 211/4840 [>.............................] - ETA: 4s - loss: 10.3869 - mean_absolute_error: 2.4299 264/4840 [>.............................] - ETA: 4s - loss: 10.4043 - mean_absolute_error: 2.4401 315/4840 [>.............................] - ETA: 4s - loss: 10.3023 - mean_absolute_error: 2.4318 367/4840 [=>............................] - ETA: 4s - loss: 10.2942 - mean_absolute_error: 2.4336 421/4840 [=>............................] - ETA: 4s - loss: 10.3040 - mean_absolute_error: 2.4331 473/4840 [=>............................] - ETA: 4s - loss: 10.2728 - mean_absolute_error: 2.4258 526/4840 [==>...........................] - 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ETA: 2s - loss: 10.4352 - mean_absolute_error: 2.45332797/4840 [================>.............] - ETA: 1s - loss: 10.4457 - mean_absolute_error: 2.45452850/4840 [================>.............] - ETA: 1s - loss: 10.4483 - mean_absolute_error: 2.45492904/4840 [=================>............] - ETA: 1s - loss: 10.4612 - mean_absolute_error: 2.45622957/4840 [=================>............] - ETA: 1s - loss: 10.4812 - mean_absolute_error: 2.45843009/4840 [=================>............] - ETA: 1s - loss: 10.4888 - mean_absolute_error: 2.45953062/4840 [=================>............] - ETA: 1s - loss: 10.4784 - mean_absolute_error: 2.45823115/4840 [==================>...........] - ETA: 1s - loss: 10.4829 - mean_absolute_error: 2.45883166/4840 [==================>...........] - ETA: 1s - loss: 10.4807 - mean_absolute_error: 2.45843218/4840 [==================>...........] - ETA: 1s - loss: 10.4910 - mean_absolute_error: 2.45953271/4840 [===================>..........] - ETA: 1s - loss: 10.4889 - 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ETA: 0s - loss: 10.4809 - mean_absolute_error: 2.46003911/4840 [=======================>......] - ETA: 0s - loss: 10.4843 - mean_absolute_error: 2.46063964/4840 [=======================>......] - ETA: 0s - loss: 10.4792 - mean_absolute_error: 2.45964017/4840 [=======================>......] - ETA: 0s - loss: 10.4904 - mean_absolute_error: 2.46084071/4840 [========================>.....] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46124123/4840 [========================>.....] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46244176/4840 [========================>.....] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46284228/4840 [=========================>....] - ETA: 0s - loss: 10.5006 - mean_absolute_error: 2.46264282/4840 [=========================>....] - ETA: 0s - loss: 10.5042 - mean_absolute_error: 2.46284335/4840 [=========================>....] - ETA: 0s - loss: 10.4991 - mean_absolute_error: 2.46234389/4840 [==========================>...] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46234440/4840 [==========================>...] - ETA: 0s - loss: 10.5085 - mean_absolute_error: 2.46324492/4840 [==========================>...] - ETA: 0s - loss: 10.4995 - mean_absolute_error: 2.46224543/4840 [===========================>..] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46194596/4840 [===========================>..] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46204649/4840 [===========================>..] - ETA: 0s - loss: 10.4961 - mean_absolute_error: 2.46174702/4840 [============================>.] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46214754/4840 [============================>.] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46234806/4840 [============================>.] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46294840/4840 [==============================] - 5s 998us/step - loss: 10.5045 - mean_absolute_error: 2.4628 - val_loss: 11.4754 - val_mean_absolute_error: 2.5803
Epoch 43/100
   1/4840 [..............................] - ETA: 9s - loss: 10.7729 - mean_absolute_error: 2.3972  57/4840 [..............................] - ETA: 4s - loss: 10.7290 - mean_absolute_error: 2.5167 115/4840 [..............................] - ETA: 4s - loss: 10.6477 - mean_absolute_error: 2.4988 173/4840 [>.............................] - ETA: 4s - loss: 10.4546 - mean_absolute_error: 2.4728 229/4840 [>.............................] - ETA: 4s - loss: 10.5961 - mean_absolute_error: 2.4872 286/4840 [>.............................] - ETA: 4s - loss: 10.4936 - mean_absolute_error: 2.4765 342/4840 [=>............................] - ETA: 3s - loss: 10.4907 - mean_absolute_error: 2.4694 400/4840 [=>............................] - ETA: 3s - loss: 10.4908 - mean_absolute_error: 2.4690 457/4840 [=>............................] - ETA: 3s - loss: 10.5320 - mean_absolute_error: 2.4708 513/4840 [==>...........................] - ETA: 3s - loss: 10.5378 - mean_absolute_error: 2.4728 568/4840 [==>...........................] - ETA: 3s - loss: 10.5373 - mean_absolute_error: 2.4726 623/4840 [==>...........................] - ETA: 3s - loss: 10.5352 - mean_absolute_error: 2.4735 679/4840 [===>..........................] - ETA: 3s - loss: 10.4927 - mean_absolute_error: 2.4690 735/4840 [===>..........................] - ETA: 3s - loss: 10.4650 - mean_absolute_error: 2.4653 792/4840 [===>..........................] - ETA: 3s - loss: 10.4884 - mean_absolute_error: 2.4676 849/4840 [====>.........................] - ETA: 3s - loss: 10.4905 - mean_absolute_error: 2.4669 905/4840 [====>.........................] - ETA: 3s - loss: 10.4813 - mean_absolute_error: 2.4660 961/4840 [====>.........................] - ETA: 3s - loss: 10.4469 - mean_absolute_error: 2.45921016/4840 [=====>........................] - ETA: 3s - loss: 10.4251 - mean_absolute_error: 2.45651073/4840 [=====>........................] - ETA: 3s - loss: 10.4125 - mean_absolute_error: 2.45541129/4840 [=====>........................] - ETA: 3s - loss: 10.4259 - 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ETA: 2s - loss: 10.4707 - mean_absolute_error: 2.46081802/4840 [==========>...................] - ETA: 2s - loss: 10.4795 - mean_absolute_error: 2.46231859/4840 [==========>...................] - ETA: 2s - loss: 10.4908 - mean_absolute_error: 2.46391916/4840 [==========>...................] - ETA: 2s - loss: 10.5088 - mean_absolute_error: 2.46671974/4840 [===========>..................] - ETA: 2s - loss: 10.5004 - mean_absolute_error: 2.46612030/4840 [===========>..................] - ETA: 2s - loss: 10.4833 - mean_absolute_error: 2.46412085/4840 [===========>..................] - ETA: 2s - loss: 10.4612 - mean_absolute_error: 2.46182141/4840 [============>.................] - ETA: 2s - loss: 10.4433 - mean_absolute_error: 2.45832199/4840 [============>.................] - ETA: 2s - loss: 10.4415 - mean_absolute_error: 2.45772255/4840 [============>.................] - ETA: 2s - loss: 10.4393 - mean_absolute_error: 2.45732310/4840 [=============>................] - ETA: 2s - loss: 10.4447 - 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mean_absolute_error: 2.46294628/4840 [===========================>..] - ETA: 0s - loss: 10.5006 - mean_absolute_error: 2.46314675/4840 [===========================>..] - ETA: 0s - loss: 10.5079 - mean_absolute_error: 2.46384722/4840 [============================>.] - ETA: 0s - loss: 10.5134 - mean_absolute_error: 2.46434769/4840 [============================>.] - ETA: 0s - loss: 10.5089 - mean_absolute_error: 2.46344819/4840 [============================>.] - ETA: 0s - loss: 10.5074 - mean_absolute_error: 2.46294840/4840 [==============================] - 5s 967us/step - loss: 10.5047 - mean_absolute_error: 2.4626 - val_loss: 11.4767 - val_mean_absolute_error: 2.5802
Epoch 44/100
   1/4840 [..............................] - ETA: 9s - loss: 14.1812 - mean_absolute_error: 2.8944  56/4840 [..............................] - ETA: 4s - loss: 10.9677 - mean_absolute_error: 2.5463 109/4840 [..............................] - ETA: 4s - loss: 10.6177 - mean_absolute_error: 2.4882 163/4840 [>.............................] - ETA: 4s - loss: 10.5923 - mean_absolute_error: 2.4765 219/4840 [>.............................] - ETA: 4s - loss: 10.6593 - mean_absolute_error: 2.4820 275/4840 [>.............................] - ETA: 4s - loss: 10.6345 - mean_absolute_error: 2.4789 330/4840 [=>............................] - ETA: 4s - loss: 10.5731 - mean_absolute_error: 2.4689 384/4840 [=>............................] - ETA: 4s - loss: 10.4603 - mean_absolute_error: 2.4565 438/4840 [=>............................] - ETA: 4s - loss: 10.4786 - mean_absolute_error: 2.4580 495/4840 [==>...........................] - ETA: 3s - loss: 10.4794 - mean_absolute_error: 2.4582 552/4840 [==>...........................] - 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mean_absolute_error: 2.46154676/4840 [===========================>..] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46144732/4840 [============================>.] - ETA: 0s - loss: 10.4916 - mean_absolute_error: 2.46064789/4840 [============================>.] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46084840/4840 [==============================] - 5s 946us/step - loss: 10.5032 - mean_absolute_error: 2.4623 - val_loss: 11.4766 - val_mean_absolute_error: 2.5810
Epoch 45/100
   1/4840 [..............................] - ETA: 4s - loss: 10.5130 - mean_absolute_error: 2.5918  56/4840 [..............................] - ETA: 4s - loss: 10.8902 - mean_absolute_error: 2.4853 113/4840 [..............................] - ETA: 4s - loss: 10.9650 - mean_absolute_error: 2.5105 168/4840 [>.............................] - ETA: 4s - loss: 10.7204 - mean_absolute_error: 2.4912 221/4840 [>.............................] - ETA: 4s - loss: 10.6176 - mean_absolute_error: 2.4798 277/4840 [>.............................] - ETA: 4s - loss: 10.5953 - mean_absolute_error: 2.4791 333/4840 [=>............................] - ETA: 4s - loss: 10.5755 - mean_absolute_error: 2.4719 390/4840 [=>............................] - ETA: 4s - loss: 10.4932 - mean_absolute_error: 2.4639 447/4840 [=>............................] - ETA: 3s - loss: 10.4610 - mean_absolute_error: 2.4589 503/4840 [==>...........................] - ETA: 3s - loss: 10.4462 - mean_absolute_error: 2.4553 559/4840 [==>...........................] - ETA: 3s - loss: 10.4274 - mean_absolute_error: 2.4544 614/4840 [==>...........................] - ETA: 3s - loss: 10.4106 - mean_absolute_error: 2.4515 671/4840 [===>..........................] - ETA: 3s - loss: 10.3659 - mean_absolute_error: 2.4463 728/4840 [===>..........................] - ETA: 3s - loss: 10.3681 - mean_absolute_error: 2.4455 783/4840 [===>..........................] - ETA: 3s - loss: 10.3730 - mean_absolute_error: 2.4467 839/4840 [====>.........................] - ETA: 3s - loss: 10.4110 - mean_absolute_error: 2.4517 891/4840 [====>.........................] - ETA: 3s - loss: 10.4087 - mean_absolute_error: 2.4517 942/4840 [====>.........................] - ETA: 3s - loss: 10.4344 - mean_absolute_error: 2.4570 993/4840 [=====>........................] - ETA: 3s - loss: 10.4406 - mean_absolute_error: 2.45841042/4840 [=====>........................] - ETA: 3s - loss: 10.4294 - mean_absolute_error: 2.45711088/4840 [=====>........................] - ETA: 3s - loss: 10.4090 - mean_absolute_error: 2.45551133/4840 [======>.......................] - ETA: 3s - loss: 10.4006 - mean_absolute_error: 2.45431180/4840 [======>.......................] - ETA: 3s - loss: 10.4083 - mean_absolute_error: 2.45611227/4840 [======>.......................] - ETA: 3s - loss: 10.4034 - mean_absolute_error: 2.45571271/4840 [======>.......................] - ETA: 3s - loss: 10.3952 - mean_absolute_error: 2.45501318/4840 [=======>......................] - ETA: 3s - loss: 10.4035 - mean_absolute_error: 2.45581366/4840 [=======>......................] - ETA: 3s - loss: 10.4121 - mean_absolute_error: 2.45701412/4840 [=======>......................] - ETA: 3s - loss: 10.4089 - mean_absolute_error: 2.45591459/4840 [========>.....................] - ETA: 3s - loss: 10.4119 - mean_absolute_error: 2.45671506/4840 [========>.....................] - ETA: 3s - loss: 10.3941 - mean_absolute_error: 2.45411552/4840 [========>.....................] - ETA: 3s - loss: 10.3862 - mean_absolute_error: 2.45431600/4840 [========>.....................] - ETA: 3s - loss: 10.3973 - mean_absolute_error: 2.45641647/4840 [=========>....................] - ETA: 3s - loss: 10.4020 - mean_absolute_error: 2.45681694/4840 [=========>....................] - ETA: 3s - loss: 10.4100 - mean_absolute_error: 2.45831741/4840 [=========>....................] - ETA: 3s - loss: 10.4201 - mean_absolute_error: 2.45861787/4840 [==========>...................] - ETA: 3s - loss: 10.4124 - mean_absolute_error: 2.45731835/4840 [==========>...................] - ETA: 2s - loss: 10.4460 - mean_absolute_error: 2.46121889/4840 [==========>...................] - ETA: 2s - loss: 10.4603 - mean_absolute_error: 2.46311943/4840 [===========>..................] - ETA: 2s - loss: 10.4615 - mean_absolute_error: 2.46261999/4840 [===========>..................] - ETA: 2s - loss: 10.4481 - mean_absolute_error: 2.46052054/4840 [===========>..................] - ETA: 2s - loss: 10.4363 - mean_absolute_error: 2.45792109/4840 [============>.................] - ETA: 2s - loss: 10.4402 - mean_absolute_error: 2.45822165/4840 [============>.................] - ETA: 2s - loss: 10.4357 - mean_absolute_error: 2.45742222/4840 [============>.................] - ETA: 2s - loss: 10.4257 - mean_absolute_error: 2.45572275/4840 [=============>................] - ETA: 2s - loss: 10.4259 - mean_absolute_error: 2.45492329/4840 [=============>................] - ETA: 2s - loss: 10.4446 - mean_absolute_error: 2.45712385/4840 [=============>................] - ETA: 2s - loss: 10.4384 - mean_absolute_error: 2.45662440/4840 [==============>...............] - ETA: 2s - loss: 10.4467 - mean_absolute_error: 2.45752496/4840 [==============>...............] - ETA: 2s - loss: 10.4470 - mean_absolute_error: 2.45782551/4840 [==============>...............] - ETA: 2s - loss: 10.4349 - mean_absolute_error: 2.45612607/4840 [===============>..............] - ETA: 2s - loss: 10.4515 - mean_absolute_error: 2.45872664/4840 [===============>..............] - ETA: 2s - loss: 10.4477 - mean_absolute_error: 2.45802720/4840 [===============>..............] - ETA: 2s - loss: 10.4422 - mean_absolute_error: 2.45652776/4840 [================>.............] - ETA: 1s - loss: 10.4364 - mean_absolute_error: 2.45592831/4840 [================>.............] - ETA: 1s - loss: 10.4494 - mean_absolute_error: 2.45752889/4840 [================>.............] - ETA: 1s - loss: 10.4439 - mean_absolute_error: 2.45712943/4840 [=================>............] - ETA: 1s - loss: 10.4462 - mean_absolute_error: 2.45712999/4840 [=================>............] - ETA: 1s - loss: 10.4485 - mean_absolute_error: 2.45683054/4840 [=================>............] - ETA: 1s - loss: 10.4338 - mean_absolute_error: 2.45503111/4840 [==================>...........] - ETA: 1s - loss: 10.4434 - mean_absolute_error: 2.45583167/4840 [==================>...........] - ETA: 1s - loss: 10.4572 - mean_absolute_error: 2.45803223/4840 [==================>...........] - ETA: 1s - loss: 10.4662 - mean_absolute_error: 2.45933277/4840 [===================>..........] - ETA: 1s - loss: 10.4711 - mean_absolute_error: 2.45983333/4840 [===================>..........] - ETA: 1s - loss: 10.4632 - mean_absolute_error: 2.45863390/4840 [====================>.........] - ETA: 1s - loss: 10.4691 - mean_absolute_error: 2.45963444/4840 [====================>.........] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.46173499/4840 [====================>.........] - ETA: 1s - loss: 10.4950 - mean_absolute_error: 2.46293557/4840 [=====================>........] - ETA: 1s - loss: 10.4981 - mean_absolute_error: 2.46303613/4840 [=====================>........] - ETA: 1s - loss: 10.5023 - mean_absolute_error: 2.46353670/4840 [=====================>........] - ETA: 1s - loss: 10.5055 - mean_absolute_error: 2.46393725/4840 [======================>.......] - ETA: 1s - loss: 10.5034 - mean_absolute_error: 2.46373780/4840 [======================>.......] - ETA: 1s - loss: 10.5086 - mean_absolute_error: 2.46443835/4840 [======================>.......] - ETA: 0s - loss: 10.5114 - mean_absolute_error: 2.46483891/4840 [=======================>......] - ETA: 0s - loss: 10.5096 - mean_absolute_error: 2.46463947/4840 [=======================>......] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46404003/4840 [=======================>......] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46304056/4840 [========================>.....] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46444111/4840 [========================>.....] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46384167/4840 [========================>.....] - ETA: 0s - loss: 10.5104 - mean_absolute_error: 2.46474224/4840 [=========================>....] - ETA: 0s - loss: 10.5072 - mean_absolute_error: 2.46434281/4840 [=========================>....] - ETA: 0s - loss: 10.5104 - mean_absolute_error: 2.46504337/4840 [=========================>....] - ETA: 0s - loss: 10.5108 - mean_absolute_error: 2.46494392/4840 [==========================>...] - ETA: 0s - loss: 10.5137 - mean_absolute_error: 2.46484448/4840 [==========================>...] - ETA: 0s - loss: 10.5108 - mean_absolute_error: 2.46464502/4840 [==========================>...] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46424556/4840 [===========================>..] - ETA: 0s - loss: 10.5091 - mean_absolute_error: 2.46404610/4840 [===========================>..] - ETA: 0s - loss: 10.5142 - mean_absolute_error: 2.46454667/4840 [===========================>..] - ETA: 0s - loss: 10.5108 - mean_absolute_error: 2.46394723/4840 [============================>.] - ETA: 0s - loss: 10.5099 - mean_absolute_error: 2.46394780/4840 [============================>.] - ETA: 0s - loss: 10.5061 - mean_absolute_error: 2.46384836/4840 [============================>.] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46304840/4840 [==============================] - 5s 983us/step - loss: 10.5038 - mean_absolute_error: 2.4632 - val_loss: 11.4767 - val_mean_absolute_error: 2.5812
Epoch 46/100
   1/4840 [..............................] - ETA: 9s - loss: 7.9148 - mean_absolute_error: 2.0853  57/4840 [..............................] - ETA: 4s - loss: 10.4412 - mean_absolute_error: 2.4726 114/4840 [..............................] - ETA: 4s - loss: 10.5277 - mean_absolute_error: 2.4620 169/4840 [>.............................] - ETA: 4s - loss: 10.3511 - mean_absolute_error: 2.4405 220/4840 [>.............................] - ETA: 4s - loss: 10.4375 - mean_absolute_error: 2.4481 274/4840 [>.............................] - ETA: 4s - loss: 10.4507 - mean_absolute_error: 2.4514 329/4840 [=>............................] - ETA: 4s - loss: 10.5088 - mean_absolute_error: 2.4590 384/4840 [=>............................] - ETA: 4s - loss: 10.5675 - mean_absolute_error: 2.4637 439/4840 [=>............................] - ETA: 4s - loss: 10.5368 - mean_absolute_error: 2.4609 494/4840 [==>...........................] - ETA: 4s - loss: 10.5307 - mean_absolute_error: 2.4651 550/4840 [==>...........................] - 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mean_absolute_error: 2.46324568/4840 [===========================>..] - ETA: 0s - loss: 10.5119 - mean_absolute_error: 2.46444624/4840 [===========================>..] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46384681/4840 [============================>.] - ETA: 0s - loss: 10.5052 - mean_absolute_error: 2.46384738/4840 [============================>.] - ETA: 0s - loss: 10.5072 - mean_absolute_error: 2.46424793/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46344840/4840 [==============================] - 5s 969us/step - loss: 10.5039 - mean_absolute_error: 2.4639 - val_loss: 11.4767 - val_mean_absolute_error: 2.5795
Epoch 47/100
   1/4840 [..............................] - ETA: 9s - loss: 9.1660 - mean_absolute_error: 2.3186  56/4840 [..............................] - ETA: 4s - loss: 10.4097 - mean_absolute_error: 2.4278 113/4840 [..............................] - ETA: 4s - loss: 10.1550 - mean_absolute_error: 2.4121 170/4840 [>.............................] - ETA: 4s - loss: 10.1894 - mean_absolute_error: 2.4231 227/4840 [>.............................] - ETA: 4s - loss: 10.2231 - mean_absolute_error: 2.4292 282/4840 [>.............................] - ETA: 4s - loss: 10.1599 - mean_absolute_error: 2.4214 337/4840 [=>............................] - ETA: 4s - loss: 10.2906 - mean_absolute_error: 2.4377 393/4840 [=>............................] - ETA: 4s - loss: 10.3684 - mean_absolute_error: 2.4517 450/4840 [=>............................] - ETA: 3s - loss: 10.3261 - mean_absolute_error: 2.4484 503/4840 [==>...........................] - ETA: 3s - loss: 10.2945 - mean_absolute_error: 2.4416 557/4840 [==>...........................] - 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ETA: 2s - loss: 10.4393 - mean_absolute_error: 2.45261788/4840 [==========>...................] - ETA: 2s - loss: 10.4152 - mean_absolute_error: 2.44981845/4840 [==========>...................] - ETA: 2s - loss: 10.4208 - mean_absolute_error: 2.45011901/4840 [==========>...................] - ETA: 2s - loss: 10.4279 - mean_absolute_error: 2.45091955/4840 [===========>..................] - ETA: 2s - loss: 10.4130 - mean_absolute_error: 2.44822012/4840 [===========>..................] - ETA: 2s - loss: 10.4204 - mean_absolute_error: 2.44982069/4840 [===========>..................] - ETA: 2s - loss: 10.4087 - mean_absolute_error: 2.44822126/4840 [============>.................] - ETA: 2s - loss: 10.4285 - mean_absolute_error: 2.45112180/4840 [============>.................] - ETA: 2s - loss: 10.4323 - mean_absolute_error: 2.45182234/4840 [============>.................] - ETA: 2s - loss: 10.4313 - mean_absolute_error: 2.45202289/4840 [=============>................] - ETA: 2s - loss: 10.4381 - 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ETA: 1s - loss: 10.4681 - mean_absolute_error: 2.45562960/4840 [=================>............] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45673013/4840 [=================>............] - ETA: 1s - loss: 10.4595 - mean_absolute_error: 2.45453061/4840 [=================>............] - ETA: 1s - loss: 10.4646 - mean_absolute_error: 2.45503113/4840 [==================>...........] - ETA: 1s - loss: 10.4666 - mean_absolute_error: 2.45513162/4840 [==================>...........] - ETA: 1s - loss: 10.4700 - mean_absolute_error: 2.45563215/4840 [==================>...........] - ETA: 1s - loss: 10.4664 - mean_absolute_error: 2.45563269/4840 [===================>..........] - ETA: 1s - loss: 10.4693 - mean_absolute_error: 2.45583324/4840 [===================>..........] - ETA: 1s - loss: 10.4663 - mean_absolute_error: 2.45533378/4840 [===================>..........] - ETA: 1s - loss: 10.4610 - mean_absolute_error: 2.45483433/4840 [====================>.........] - ETA: 1s - loss: 10.4649 - mean_absolute_error: 2.45563488/4840 [====================>.........] - ETA: 1s - loss: 10.4648 - mean_absolute_error: 2.45573539/4840 [====================>.........] - ETA: 1s - loss: 10.4699 - mean_absolute_error: 2.45633592/4840 [=====================>........] - ETA: 1s - loss: 10.4663 - mean_absolute_error: 2.45583647/4840 [=====================>........] - ETA: 1s - loss: 10.4680 - mean_absolute_error: 2.45663702/4840 [=====================>........] - ETA: 1s - loss: 10.4568 - mean_absolute_error: 2.45513757/4840 [======================>.......] - ETA: 0s - loss: 10.4552 - mean_absolute_error: 2.45473811/4840 [======================>.......] - ETA: 0s - loss: 10.4664 - mean_absolute_error: 2.45623865/4840 [======================>.......] - ETA: 0s - loss: 10.4667 - mean_absolute_error: 2.45663920/4840 [=======================>......] - ETA: 0s - loss: 10.4716 - mean_absolute_error: 2.45803977/4840 [=======================>......] - ETA: 0s - loss: 10.4606 - mean_absolute_error: 2.45674033/4840 [=======================>......] - 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mean_absolute_error: 2.46054641/4840 [===========================>..] - ETA: 0s - loss: 10.4907 - mean_absolute_error: 2.46054696/4840 [============================>.] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46104750/4840 [============================>.] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46114805/4840 [============================>.] - ETA: 0s - loss: 10.4996 - mean_absolute_error: 2.46154840/4840 [==============================] - 5s 956us/step - loss: 10.5037 - mean_absolute_error: 2.4618 - val_loss: 11.4801 - val_mean_absolute_error: 2.5800
Epoch 48/100
   1/4840 [..............................] - ETA: 9s - loss: 8.0851 - mean_absolute_error: 2.3065  58/4840 [..............................] - ETA: 4s - loss: 10.3708 - mean_absolute_error: 2.4569 115/4840 [..............................] - ETA: 4s - loss: 10.1295 - mean_absolute_error: 2.4188 170/4840 [>.............................] - ETA: 4s - loss: 10.2544 - mean_absolute_error: 2.4354 225/4840 [>.............................] - ETA: 4s - loss: 10.2682 - mean_absolute_error: 2.4370 280/4840 [>.............................] - ETA: 4s - loss: 10.3096 - mean_absolute_error: 2.4448 337/4840 [=>............................] - ETA: 4s - loss: 10.3754 - mean_absolute_error: 2.4510 393/4840 [=>............................] - ETA: 3s - loss: 10.3748 - mean_absolute_error: 2.4513 449/4840 [=>............................] - ETA: 3s - loss: 10.4357 - mean_absolute_error: 2.4571 504/4840 [==>...........................] - ETA: 3s - loss: 10.4058 - mean_absolute_error: 2.4526 556/4840 [==>...........................] - ETA: 3s - loss: 10.4354 - mean_absolute_error: 2.4548 610/4840 [==>...........................] - ETA: 3s - loss: 10.4218 - mean_absolute_error: 2.4528 665/4840 [===>..........................] - ETA: 3s - loss: 10.4706 - mean_absolute_error: 2.4593 720/4840 [===>..........................] - ETA: 3s - loss: 10.5177 - mean_absolute_error: 2.4636 776/4840 [===>..........................] - ETA: 3s - loss: 10.5727 - mean_absolute_error: 2.4700 831/4840 [====>.........................] - ETA: 3s - loss: 10.5494 - mean_absolute_error: 2.4659 885/4840 [====>.........................] - ETA: 3s - loss: 10.5317 - mean_absolute_error: 2.4647 941/4840 [====>.........................] - ETA: 3s - loss: 10.5574 - mean_absolute_error: 2.4693 998/4840 [=====>........................] - ETA: 3s - loss: 10.5660 - mean_absolute_error: 2.47071054/4840 [=====>........................] - ETA: 3s - loss: 10.5707 - mean_absolute_error: 2.47301108/4840 [=====>........................] - ETA: 3s - loss: 10.5748 - 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mean_absolute_error: 2.45723509/4840 [====================>.........] - ETA: 1s - loss: 10.4506 - mean_absolute_error: 2.45713567/4840 [=====================>........] - ETA: 1s - loss: 10.4629 - mean_absolute_error: 2.45883624/4840 [=====================>........] - ETA: 1s - loss: 10.4669 - mean_absolute_error: 2.45973682/4840 [=====================>........] - ETA: 1s - loss: 10.4730 - mean_absolute_error: 2.46003738/4840 [======================>.......] - ETA: 0s - loss: 10.4784 - mean_absolute_error: 2.46043794/4840 [======================>.......] - ETA: 0s - loss: 10.4764 - mean_absolute_error: 2.46013849/4840 [======================>.......] - ETA: 0s - loss: 10.4752 - mean_absolute_error: 2.45953907/4840 [=======================>......] - ETA: 0s - loss: 10.4810 - mean_absolute_error: 2.46013959/4840 [=======================>......] - ETA: 0s - loss: 10.4740 - mean_absolute_error: 2.45924015/4840 [=======================>......] - ETA: 0s - loss: 10.4703 - mean_absolute_error: 2.45904072/4840 [========================>.....] - 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mean_absolute_error: 2.46064687/4840 [============================>.] - ETA: 0s - loss: 10.4877 - mean_absolute_error: 2.46064744/4840 [============================>.] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.46064801/4840 [============================>.] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.46164840/4840 [==============================] - 5s 947us/step - loss: 10.5041 - mean_absolute_error: 2.4623 - val_loss: 11.4803 - val_mean_absolute_error: 2.5794
Epoch 49/100
   1/4840 [..............................] - ETA: 4s - loss: 13.7250 - mean_absolute_error: 2.9200  57/4840 [..............................] - ETA: 4s - loss: 10.2142 - mean_absolute_error: 2.4411 112/4840 [..............................] - ETA: 4s - loss: 10.2085 - mean_absolute_error: 2.4462 170/4840 [>.............................] - ETA: 4s - loss: 10.2129 - mean_absolute_error: 2.4416 226/4840 [>.............................] - ETA: 4s - loss: 10.2097 - mean_absolute_error: 2.4365 282/4840 [>.............................] - ETA: 4s - loss: 10.2186 - mean_absolute_error: 2.4302 339/4840 [=>............................] - ETA: 4s - loss: 10.2493 - mean_absolute_error: 2.4376 394/4840 [=>............................] - ETA: 4s - loss: 10.2896 - mean_absolute_error: 2.4445 450/4840 [=>............................] - ETA: 3s - loss: 10.2698 - mean_absolute_error: 2.4370 506/4840 [==>...........................] - ETA: 3s - loss: 10.3958 - mean_absolute_error: 2.4538 562/4840 [==>...........................] - 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mean_absolute_error: 2.44291176/4840 [======>.......................] - ETA: 3s - loss: 10.3338 - mean_absolute_error: 2.44241232/4840 [======>.......................] - ETA: 3s - loss: 10.3309 - mean_absolute_error: 2.44101289/4840 [======>.......................] - ETA: 3s - loss: 10.3516 - mean_absolute_error: 2.44351344/4840 [=======>......................] - ETA: 3s - loss: 10.3539 - mean_absolute_error: 2.44391399/4840 [=======>......................] - ETA: 3s - loss: 10.3771 - mean_absolute_error: 2.44691456/4840 [========>.....................] - ETA: 3s - loss: 10.3887 - mean_absolute_error: 2.44861514/4840 [========>.....................] - ETA: 3s - loss: 10.4100 - mean_absolute_error: 2.45171569/4840 [========>.....................] - ETA: 2s - loss: 10.4080 - mean_absolute_error: 2.45141625/4840 [=========>....................] - ETA: 2s - loss: 10.4245 - mean_absolute_error: 2.45331682/4840 [=========>....................] - ETA: 2s - loss: 10.4021 - mean_absolute_error: 2.44991735/4840 [=========>....................] - 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mean_absolute_error: 2.45923529/4840 [====================>.........] - ETA: 1s - loss: 10.4800 - mean_absolute_error: 2.45943586/4840 [=====================>........] - ETA: 1s - loss: 10.4840 - mean_absolute_error: 2.45983643/4840 [=====================>........] - ETA: 1s - loss: 10.4834 - mean_absolute_error: 2.45973700/4840 [=====================>........] - ETA: 1s - loss: 10.4721 - mean_absolute_error: 2.45843755/4840 [======================>.......] - ETA: 0s - loss: 10.4813 - mean_absolute_error: 2.45953811/4840 [======================>.......] - ETA: 0s - loss: 10.4862 - mean_absolute_error: 2.45983866/4840 [======================>.......] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.46093922/4840 [=======================>......] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.46133976/4840 [=======================>......] - ETA: 0s - loss: 10.4921 - mean_absolute_error: 2.46074031/4840 [=======================>......] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46154087/4840 [========================>.....] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.46164144/4840 [========================>.....] - ETA: 0s - loss: 10.4894 - mean_absolute_error: 2.46024201/4840 [=========================>....] - ETA: 0s - loss: 10.4902 - mean_absolute_error: 2.46054258/4840 [=========================>....] - ETA: 0s - loss: 10.4851 - mean_absolute_error: 2.45964315/4840 [=========================>....] - ETA: 0s - loss: 10.4873 - mean_absolute_error: 2.45994370/4840 [==========================>...] - ETA: 0s - loss: 10.4877 - mean_absolute_error: 2.45984427/4840 [==========================>...] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.46064484/4840 [==========================>...] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46074541/4840 [===========================>..] - ETA: 0s - loss: 10.4940 - mean_absolute_error: 2.46054594/4840 [===========================>..] - ETA: 0s - loss: 10.4995 - mean_absolute_error: 2.46124650/4840 [===========================>..] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46114706/4840 [============================>.] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46204763/4840 [============================>.] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46174821/4840 [============================>.] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46184840/4840 [==============================] - 5s 943us/step - loss: 10.5042 - mean_absolute_error: 2.4616 - val_loss: 11.4845 - val_mean_absolute_error: 2.5805
Epoch 50/100
   1/4840 [..............................] - ETA: 4s - loss: 8.1015 - mean_absolute_error: 2.0520  58/4840 [..............................] - ETA: 4s - loss: 10.3301 - mean_absolute_error: 2.4324 110/4840 [..............................] - ETA: 4s - loss: 10.4217 - mean_absolute_error: 2.4465 161/4840 [..............................] - ETA: 4s - loss: 10.6268 - mean_absolute_error: 2.4873 214/4840 [>.............................] - ETA: 4s - loss: 10.5778 - mean_absolute_error: 2.4860 264/4840 [>.............................] - ETA: 4s - loss: 10.5464 - mean_absolute_error: 2.4777 312/4840 [>.............................] - ETA: 4s - loss: 10.5524 - mean_absolute_error: 2.4749 360/4840 [=>............................] - ETA: 4s - loss: 10.5407 - mean_absolute_error: 2.4759 410/4840 [=>............................] - ETA: 4s - loss: 10.6771 - mean_absolute_error: 2.4904 461/4840 [=>............................] - ETA: 4s - loss: 10.6872 - mean_absolute_error: 2.4911 514/4840 [==>...........................] - ETA: 4s - loss: 10.6652 - mean_absolute_error: 2.4844 567/4840 [==>...........................] - ETA: 4s - loss: 10.6922 - mean_absolute_error: 2.4876 618/4840 [==>...........................] - ETA: 4s - loss: 10.6541 - mean_absolute_error: 2.4822 673/4840 [===>..........................] - ETA: 4s - loss: 10.6419 - mean_absolute_error: 2.4827 728/4840 [===>..........................] - ETA: 3s - loss: 10.6473 - mean_absolute_error: 2.4843 784/4840 [===>..........................] - ETA: 3s - loss: 10.6808 - mean_absolute_error: 2.4903 839/4840 [====>.........................] - ETA: 3s - loss: 10.6387 - mean_absolute_error: 2.4839 895/4840 [====>.........................] - ETA: 3s - loss: 10.6619 - mean_absolute_error: 2.4855 950/4840 [====>.........................] - ETA: 3s - loss: 10.6459 - mean_absolute_error: 2.48251006/4840 [=====>........................] - ETA: 3s - loss: 10.6403 - mean_absolute_error: 2.48131059/4840 [=====>........................] - ETA: 3s - loss: 10.6208 - 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ETA: 2s - loss: 10.5482 - mean_absolute_error: 2.46921727/4840 [=========>....................] - ETA: 2s - loss: 10.5545 - mean_absolute_error: 2.47041780/4840 [==========>...................] - ETA: 2s - loss: 10.5642 - mean_absolute_error: 2.47201836/4840 [==========>...................] - ETA: 2s - loss: 10.5493 - mean_absolute_error: 2.47001892/4840 [==========>...................] - ETA: 2s - loss: 10.5393 - mean_absolute_error: 2.46871948/4840 [===========>..................] - ETA: 2s - loss: 10.5248 - mean_absolute_error: 2.46742004/4840 [===========>..................] - ETA: 2s - loss: 10.5199 - mean_absolute_error: 2.46652059/4840 [===========>..................] - ETA: 2s - loss: 10.5098 - mean_absolute_error: 2.46552115/4840 [============>.................] - ETA: 2s - loss: 10.5068 - mean_absolute_error: 2.46502171/4840 [============>.................] - ETA: 2s - loss: 10.5036 - mean_absolute_error: 2.46392228/4840 [============>.................] - ETA: 2s - loss: 10.4886 - mean_absolute_error: 2.46182283/4840 [=============>................] - ETA: 2s - loss: 10.4962 - mean_absolute_error: 2.46242338/4840 [=============>................] - ETA: 2s - loss: 10.5129 - mean_absolute_error: 2.46532395/4840 [=============>................] - ETA: 2s - loss: 10.4952 - mean_absolute_error: 2.46342451/4840 [==============>...............] - ETA: 2s - loss: 10.4922 - mean_absolute_error: 2.46272508/4840 [==============>...............] - ETA: 2s - loss: 10.4934 - mean_absolute_error: 2.46232564/4840 [==============>...............] - ETA: 2s - loss: 10.4938 - mean_absolute_error: 2.46222619/4840 [===============>..............] - ETA: 2s - loss: 10.4939 - mean_absolute_error: 2.46222676/4840 [===============>..............] - ETA: 1s - loss: 10.5013 - mean_absolute_error: 2.46312732/4840 [===============>..............] - ETA: 1s - loss: 10.4884 - mean_absolute_error: 2.46152789/4840 [================>.............] - ETA: 1s - loss: 10.4827 - mean_absolute_error: 2.46062845/4840 [================>.............] - ETA: 1s - loss: 10.4750 - mean_absolute_error: 2.45952897/4840 [================>.............] - ETA: 1s - loss: 10.4880 - mean_absolute_error: 2.46102952/4840 [=================>............] - ETA: 1s - loss: 10.5035 - mean_absolute_error: 2.46243008/4840 [=================>............] - ETA: 1s - loss: 10.4992 - mean_absolute_error: 2.46213065/4840 [=================>............] - ETA: 1s - loss: 10.4925 - mean_absolute_error: 2.46073122/4840 [==================>...........] - ETA: 1s - loss: 10.4940 - mean_absolute_error: 2.46113178/4840 [==================>...........] - ETA: 1s - loss: 10.4914 - mean_absolute_error: 2.46093233/4840 [===================>..........] - ETA: 1s - loss: 10.4968 - mean_absolute_error: 2.46143288/4840 [===================>..........] - ETA: 1s - loss: 10.4918 - mean_absolute_error: 2.46083345/4840 [===================>..........] - ETA: 1s - loss: 10.4935 - mean_absolute_error: 2.46153402/4840 [====================>.........] - ETA: 1s - loss: 10.4885 - mean_absolute_error: 2.46073459/4840 [====================>.........] - ETA: 1s - loss: 10.4831 - mean_absolute_error: 2.46043514/4840 [====================>.........] - ETA: 1s - loss: 10.4884 - mean_absolute_error: 2.46083570/4840 [=====================>........] - ETA: 1s - loss: 10.4770 - mean_absolute_error: 2.45953627/4840 [=====================>........] - ETA: 1s - loss: 10.4808 - mean_absolute_error: 2.45993683/4840 [=====================>........] - ETA: 1s - loss: 10.4772 - mean_absolute_error: 2.45973738/4840 [======================>.......] - ETA: 1s - loss: 10.4800 - mean_absolute_error: 2.46013794/4840 [======================>.......] - ETA: 0s - loss: 10.4773 - mean_absolute_error: 2.45973851/4840 [======================>.......] - ETA: 0s - loss: 10.4823 - mean_absolute_error: 2.46003907/4840 [=======================>......] - ETA: 0s - loss: 10.4823 - mean_absolute_error: 2.45973962/4840 [=======================>......] - ETA: 0s - loss: 10.4800 - mean_absolute_error: 2.45924017/4840 [=======================>......] - ETA: 0s - loss: 10.4861 - mean_absolute_error: 2.46054069/4840 [========================>.....] - ETA: 0s - loss: 10.4900 - mean_absolute_error: 2.46104125/4840 [========================>.....] - ETA: 0s - loss: 10.4901 - mean_absolute_error: 2.46074182/4840 [========================>.....] - ETA: 0s - loss: 10.5013 - mean_absolute_error: 2.46214237/4840 [=========================>....] - ETA: 0s - loss: 10.5098 - mean_absolute_error: 2.46354291/4840 [=========================>....] - ETA: 0s - loss: 10.5058 - mean_absolute_error: 2.46304347/4840 [=========================>....] - ETA: 0s - loss: 10.5002 - mean_absolute_error: 2.46204403/4840 [==========================>...] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46224459/4840 [==========================>...] - ETA: 0s - loss: 10.5016 - mean_absolute_error: 2.46224506/4840 [==========================>...] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46234552/4840 [===========================>..] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46164597/4840 [===========================>..] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.46174642/4840 [===========================>..] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.46214684/4840 [============================>.] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46184731/4840 [============================>.] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46194784/4840 [============================>.] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46264838/4840 [============================>.] - ETA: 0s - loss: 10.5036 - mean_absolute_error: 2.46234840/4840 [==============================] - 5s 971us/step - loss: 10.5034 - mean_absolute_error: 2.4622 - val_loss: 11.4852 - val_mean_absolute_error: 2.5802
Epoch 51/100
   1/4840 [..............................] - ETA: 9s - loss: 7.4849 - mean_absolute_error: 1.9278  57/4840 [..............................] - ETA: 4s - loss: 10.3153 - mean_absolute_error: 2.4417 114/4840 [..............................] - ETA: 4s - loss: 9.9844 - mean_absolute_error: 2.3910  170/4840 [>.............................] - ETA: 4s - loss: 10.0206 - mean_absolute_error: 2.3895 224/4840 [>.............................] - ETA: 4s - loss: 10.2297 - mean_absolute_error: 2.4157 279/4840 [>.............................] - ETA: 4s - loss: 10.2869 - mean_absolute_error: 2.4234 333/4840 [=>............................] - ETA: 4s - loss: 10.3282 - mean_absolute_error: 2.4266 389/4840 [=>............................] - ETA: 4s - loss: 10.2835 - mean_absolute_error: 2.4267 445/4840 [=>............................] - ETA: 4s - loss: 10.3094 - mean_absolute_error: 2.4300 501/4840 [==>...........................] - ETA: 3s - loss: 10.3324 - mean_absolute_error: 2.4328 556/4840 [==>...........................] - ETA: 3s - loss: 10.3607 - mean_absolute_error: 2.4386 611/4840 [==>...........................] - ETA: 3s - loss: 10.3034 - mean_absolute_error: 2.4320 665/4840 [===>..........................] - ETA: 3s - loss: 10.2992 - mean_absolute_error: 2.4293 720/4840 [===>..........................] - ETA: 3s - loss: 10.3278 - mean_absolute_error: 2.4345 775/4840 [===>..........................] - ETA: 3s - loss: 10.3743 - mean_absolute_error: 2.4399 830/4840 [====>.........................] - ETA: 3s - loss: 10.3996 - mean_absolute_error: 2.4435 885/4840 [====>.........................] - ETA: 3s - loss: 10.3956 - mean_absolute_error: 2.4427 941/4840 [====>.........................] - ETA: 3s - loss: 10.3922 - mean_absolute_error: 2.4422 997/4840 [=====>........................] - ETA: 3s - loss: 10.3795 - mean_absolute_error: 2.44121051/4840 [=====>........................] - ETA: 3s - loss: 10.3882 - mean_absolute_error: 2.44301106/4840 [=====>........................] - ETA: 3s - loss: 10.3635 - 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ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46074077/4840 [========================>.....] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46094133/4840 [========================>.....] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46054187/4840 [========================>.....] - ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46024242/4840 [=========================>....] - ETA: 0s - loss: 10.4932 - mean_absolute_error: 2.46014298/4840 [=========================>....] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46044355/4840 [=========================>....] - ETA: 0s - loss: 10.4911 - mean_absolute_error: 2.46044411/4840 [==========================>...] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46114468/4840 [==========================>...] - ETA: 0s - loss: 10.4954 - mean_absolute_error: 2.46144522/4840 [===========================>..] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.46134577/4840 [===========================>..] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46224633/4840 [===========================>..] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46214688/4840 [============================>.] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46234743/4840 [============================>.] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46234798/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46224840/4840 [==============================] - 5s 957us/step - loss: 10.5037 - mean_absolute_error: 2.4620 - val_loss: 11.4867 - val_mean_absolute_error: 2.5802
Epoch 52/100
   1/4840 [..............................] - ETA: 9s - loss: 13.0474 - mean_absolute_error: 2.5574  57/4840 [..............................] - ETA: 4s - loss: 10.2164 - mean_absolute_error: 2.4308 113/4840 [..............................] - ETA: 4s - loss: 10.0780 - mean_absolute_error: 2.4187 170/4840 [>.............................] - ETA: 4s - loss: 10.0701 - mean_absolute_error: 2.4019 227/4840 [>.............................] - ETA: 4s - loss: 10.3121 - mean_absolute_error: 2.4353 282/4840 [>.............................] - ETA: 4s - loss: 10.3075 - mean_absolute_error: 2.4324 337/4840 [=>............................] - ETA: 4s - loss: 10.3188 - mean_absolute_error: 2.4322 393/4840 [=>............................] - ETA: 4s - loss: 10.3885 - mean_absolute_error: 2.4437 450/4840 [=>............................] - ETA: 3s - loss: 10.3340 - mean_absolute_error: 2.4392 506/4840 [==>...........................] - ETA: 3s - loss: 10.3387 - mean_absolute_error: 2.4426 561/4840 [==>...........................] - 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mean_absolute_error: 2.45091174/4840 [======>.......................] - ETA: 3s - loss: 10.4289 - mean_absolute_error: 2.44961230/4840 [======>.......................] - ETA: 3s - loss: 10.4423 - mean_absolute_error: 2.45231287/4840 [======>.......................] - ETA: 3s - loss: 10.4451 - mean_absolute_error: 2.45241344/4840 [=======>......................] - ETA: 3s - loss: 10.4616 - mean_absolute_error: 2.45361400/4840 [=======>......................] - ETA: 3s - loss: 10.4681 - mean_absolute_error: 2.45351456/4840 [========>.....................] - ETA: 3s - loss: 10.4435 - mean_absolute_error: 2.45091511/4840 [========>.....................] - ETA: 3s - loss: 10.4737 - mean_absolute_error: 2.45501568/4840 [========>.....................] - ETA: 2s - loss: 10.4830 - mean_absolute_error: 2.45691624/4840 [=========>....................] - ETA: 2s - loss: 10.4976 - mean_absolute_error: 2.45901681/4840 [=========>....................] - ETA: 2s - loss: 10.4996 - mean_absolute_error: 2.45961735/4840 [=========>....................] - 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mean_absolute_error: 2.45994688/4840 [============================>.] - ETA: 0s - loss: 10.4969 - mean_absolute_error: 2.46044743/4840 [============================>.] - ETA: 0s - loss: 10.5006 - mean_absolute_error: 2.46104798/4840 [============================>.] - ETA: 0s - loss: 10.5035 - mean_absolute_error: 2.46174840/4840 [==============================] - 5s 947us/step - loss: 10.5031 - mean_absolute_error: 2.4616 - val_loss: 11.4856 - val_mean_absolute_error: 2.5799
Epoch 53/100
   1/4840 [..............................] - ETA: 4s - loss: 10.2187 - mean_absolute_error: 2.3993  56/4840 [..............................] - ETA: 4s - loss: 10.6324 - mean_absolute_error: 2.4853 112/4840 [..............................] - ETA: 4s - loss: 10.5237 - mean_absolute_error: 2.4664 167/4840 [>.............................] - ETA: 4s - loss: 10.5709 - mean_absolute_error: 2.4719 224/4840 [>.............................] - ETA: 4s - loss: 10.5547 - mean_absolute_error: 2.4711 280/4840 [>.............................] - ETA: 4s - loss: 10.6427 - mean_absolute_error: 2.4801 337/4840 [=>............................] - ETA: 4s - loss: 10.6742 - mean_absolute_error: 2.4851 394/4840 [=>............................] - ETA: 3s - loss: 10.6229 - mean_absolute_error: 2.4768 449/4840 [=>............................] - ETA: 3s - loss: 10.6622 - mean_absolute_error: 2.4824 505/4840 [==>...........................] - ETA: 3s - loss: 10.6724 - mean_absolute_error: 2.4847 561/4840 [==>...........................] - 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ETA: 0s - loss: 10.5294 - mean_absolute_error: 2.46474146/4840 [========================>.....] - ETA: 0s - loss: 10.5256 - mean_absolute_error: 2.46434201/4840 [=========================>....] - ETA: 0s - loss: 10.5278 - mean_absolute_error: 2.46464258/4840 [=========================>....] - ETA: 0s - loss: 10.5254 - mean_absolute_error: 2.46444315/4840 [=========================>....] - ETA: 0s - loss: 10.5322 - mean_absolute_error: 2.46554371/4840 [==========================>...] - ETA: 0s - loss: 10.5238 - mean_absolute_error: 2.46454427/4840 [==========================>...] - ETA: 0s - loss: 10.5207 - mean_absolute_error: 2.46414482/4840 [==========================>...] - ETA: 0s - loss: 10.5282 - mean_absolute_error: 2.46534540/4840 [===========================>..] - ETA: 0s - loss: 10.5331 - mean_absolute_error: 2.46604596/4840 [===========================>..] - ETA: 0s - loss: 10.5217 - mean_absolute_error: 2.46474649/4840 [===========================>..] - ETA: 0s - loss: 10.5196 - mean_absolute_error: 2.46474704/4840 [============================>.] - ETA: 0s - loss: 10.5170 - mean_absolute_error: 2.46474759/4840 [============================>.] - ETA: 0s - loss: 10.5156 - mean_absolute_error: 2.46444816/4840 [============================>.] - ETA: 0s - loss: 10.5068 - mean_absolute_error: 2.46344840/4840 [==============================] - 5s 945us/step - loss: 10.5032 - mean_absolute_error: 2.4630 - val_loss: 11.4919 - val_mean_absolute_error: 2.5793
Epoch 54/100
   1/4840 [..............................] - ETA: 4s - loss: 8.8925 - mean_absolute_error: 2.2127  57/4840 [..............................] - ETA: 4s - loss: 10.2209 - mean_absolute_error: 2.4335 114/4840 [..............................] - ETA: 4s - loss: 10.2331 - mean_absolute_error: 2.4186 169/4840 [>.............................] - ETA: 4s - loss: 10.1774 - mean_absolute_error: 2.4114 224/4840 [>.............................] - ETA: 4s - loss: 10.2999 - mean_absolute_error: 2.4245 281/4840 [>.............................] - ETA: 4s - loss: 10.3822 - mean_absolute_error: 2.4372 337/4840 [=>............................] - ETA: 4s - loss: 10.4653 - mean_absolute_error: 2.4540 394/4840 [=>............................] - ETA: 3s - loss: 10.4552 - mean_absolute_error: 2.4508 450/4840 [=>............................] - ETA: 3s - loss: 10.4688 - mean_absolute_error: 2.4498 505/4840 [==>...........................] - ETA: 3s - loss: 10.4096 - mean_absolute_error: 2.4470 560/4840 [==>...........................] - 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ETA: 1s - loss: 10.4831 - mean_absolute_error: 2.45932904/4840 [=================>............] - ETA: 1s - loss: 10.4940 - mean_absolute_error: 2.46062958/4840 [=================>............] - ETA: 1s - loss: 10.4914 - mean_absolute_error: 2.46073014/4840 [=================>............] - ETA: 1s - loss: 10.4875 - mean_absolute_error: 2.46023057/4840 [=================>............] - ETA: 1s - loss: 10.4860 - mean_absolute_error: 2.45993094/4840 [==================>...........] - ETA: 1s - loss: 10.4945 - mean_absolute_error: 2.46073143/4840 [==================>...........] - ETA: 1s - loss: 10.4933 - mean_absolute_error: 2.46063196/4840 [==================>...........] - ETA: 1s - loss: 10.4960 - mean_absolute_error: 2.46023249/4840 [===================>..........] - ETA: 1s - loss: 10.4919 - mean_absolute_error: 2.45993303/4840 [===================>..........] - ETA: 1s - loss: 10.4996 - mean_absolute_error: 2.46143358/4840 [===================>..........] - ETA: 1s - loss: 10.4946 - 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mean_absolute_error: 2.46224585/4840 [===========================>..] - ETA: 0s - loss: 10.5103 - mean_absolute_error: 2.46184640/4840 [===========================>..] - ETA: 0s - loss: 10.5126 - mean_absolute_error: 2.46234696/4840 [============================>.] - ETA: 0s - loss: 10.5068 - mean_absolute_error: 2.46164753/4840 [============================>.] - ETA: 0s - loss: 10.5038 - mean_absolute_error: 2.46114809/4840 [============================>.] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46044840/4840 [==============================] - 5s 966us/step - loss: 10.5034 - mean_absolute_error: 2.4610 - val_loss: 11.4886 - val_mean_absolute_error: 2.5798
Epoch 55/100
   1/4840 [..............................] - ETA: 9s - loss: 13.8502 - mean_absolute_error: 2.7126  56/4840 [..............................] - ETA: 4s - loss: 10.0142 - mean_absolute_error: 2.3927 111/4840 [..............................] - ETA: 4s - loss: 10.6436 - mean_absolute_error: 2.4697 166/4840 [>.............................] - ETA: 4s - loss: 10.5622 - mean_absolute_error: 2.4722 223/4840 [>.............................] - ETA: 4s - loss: 10.6650 - mean_absolute_error: 2.4902 279/4840 [>.............................] - ETA: 4s - loss: 10.5240 - mean_absolute_error: 2.4729 336/4840 [=>............................] - ETA: 4s - loss: 10.4079 - mean_absolute_error: 2.4554 392/4840 [=>............................] - ETA: 3s - loss: 10.4560 - mean_absolute_error: 2.4618 447/4840 [=>............................] - ETA: 3s - loss: 10.4133 - mean_absolute_error: 2.4514 502/4840 [==>...........................] - ETA: 3s - loss: 10.3184 - mean_absolute_error: 2.4362 559/4840 [==>...........................] - ETA: 3s - loss: 10.3148 - mean_absolute_error: 2.4366 617/4840 [==>...........................] - ETA: 3s - loss: 10.3663 - mean_absolute_error: 2.4427 672/4840 [===>..........................] - ETA: 3s - loss: 10.3795 - mean_absolute_error: 2.4453 726/4840 [===>..........................] - ETA: 3s - loss: 10.3996 - mean_absolute_error: 2.4484 782/4840 [===>..........................] - ETA: 3s - loss: 10.3718 - mean_absolute_error: 2.4451 838/4840 [====>.........................] - ETA: 3s - loss: 10.4281 - mean_absolute_error: 2.4502 896/4840 [====>.........................] - ETA: 3s - loss: 10.4282 - mean_absolute_error: 2.4511 950/4840 [====>.........................] - ETA: 3s - loss: 10.4163 - mean_absolute_error: 2.44961007/4840 [=====>........................] - ETA: 3s - loss: 10.4464 - mean_absolute_error: 2.45381064/4840 [=====>........................] - ETA: 3s - loss: 10.4651 - mean_absolute_error: 2.45621122/4840 [=====>........................] - ETA: 3s - loss: 10.4739 - 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mean_absolute_error: 2.45984696/4840 [============================>.] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.46004751/4840 [============================>.] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.46024806/4840 [============================>.] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46094840/4840 [==============================] - 5s 947us/step - loss: 10.5034 - mean_absolute_error: 2.4617 - val_loss: 11.4869 - val_mean_absolute_error: 2.5797
Epoch 56/100
   1/4840 [..............................] - ETA: 9s - loss: 10.4276 - mean_absolute_error: 2.1269  59/4840 [..............................] - ETA: 4s - loss: 9.6450 - mean_absolute_error: 2.3498  116/4840 [..............................] - ETA: 4s - loss: 10.1772 - mean_absolute_error: 2.4294 171/4840 [>.............................] - ETA: 4s - loss: 10.3547 - mean_absolute_error: 2.4458 227/4840 [>.............................] - ETA: 4s - loss: 10.3825 - mean_absolute_error: 2.4544 284/4840 [>.............................] - ETA: 4s - loss: 10.3922 - mean_absolute_error: 2.4529 339/4840 [=>............................] - ETA: 4s - loss: 10.4188 - mean_absolute_error: 2.4541 395/4840 [=>............................] - ETA: 3s - loss: 10.4261 - mean_absolute_error: 2.4519 452/4840 [=>............................] - ETA: 3s - loss: 10.4699 - mean_absolute_error: 2.4561 509/4840 [==>...........................] - ETA: 3s - loss: 10.5660 - mean_absolute_error: 2.4704 565/4840 [==>...........................] - 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mean_absolute_error: 2.46164697/4840 [============================>.] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46214753/4840 [============================>.] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46174809/4840 [============================>.] - ETA: 0s - loss: 10.5063 - mean_absolute_error: 2.46184840/4840 [==============================] - 5s 943us/step - loss: 10.5030 - mean_absolute_error: 2.4616 - val_loss: 11.4892 - val_mean_absolute_error: 2.5798
Epoch 57/100
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ETA: 1s - loss: 10.4541 - mean_absolute_error: 2.45232952/4840 [=================>............] - ETA: 1s - loss: 10.4634 - mean_absolute_error: 2.45313007/4840 [=================>............] - ETA: 1s - loss: 10.4650 - mean_absolute_error: 2.45333064/4840 [=================>............] - ETA: 1s - loss: 10.4642 - mean_absolute_error: 2.45343119/4840 [==================>...........] - ETA: 1s - loss: 10.4654 - mean_absolute_error: 2.45393175/4840 [==================>...........] - ETA: 1s - loss: 10.4670 - mean_absolute_error: 2.45383230/4840 [===================>..........] - ETA: 1s - loss: 10.4703 - mean_absolute_error: 2.45423285/4840 [===================>..........] - ETA: 1s - loss: 10.4658 - mean_absolute_error: 2.45443340/4840 [===================>..........] - ETA: 1s - loss: 10.4655 - mean_absolute_error: 2.45423394/4840 [====================>.........] - ETA: 1s - loss: 10.4650 - mean_absolute_error: 2.45483451/4840 [====================>.........] - ETA: 1s - loss: 10.4749 - mean_absolute_error: 2.45633507/4840 [====================>.........] - ETA: 1s - loss: 10.4753 - mean_absolute_error: 2.45623559/4840 [=====================>........] - ETA: 1s - loss: 10.4709 - mean_absolute_error: 2.45583615/4840 [=====================>........] - ETA: 1s - loss: 10.4712 - mean_absolute_error: 2.45583669/4840 [=====================>........] - ETA: 1s - loss: 10.4667 - mean_absolute_error: 2.45543726/4840 [======================>.......] - ETA: 1s - loss: 10.4705 - mean_absolute_error: 2.45613781/4840 [======================>.......] - ETA: 0s - loss: 10.4605 - mean_absolute_error: 2.45483837/4840 [======================>.......] - ETA: 0s - loss: 10.4584 - mean_absolute_error: 2.45423893/4840 [=======================>......] - ETA: 0s - loss: 10.4713 - mean_absolute_error: 2.45593950/4840 [=======================>......] - ETA: 0s - loss: 10.4563 - mean_absolute_error: 2.45424006/4840 [=======================>......] - ETA: 0s - loss: 10.4684 - mean_absolute_error: 2.45584061/4840 [========================>.....] - 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mean_absolute_error: 2.45934670/4840 [===========================>..] - ETA: 0s - loss: 10.4886 - mean_absolute_error: 2.45844723/4840 [============================>.] - ETA: 0s - loss: 10.5009 - mean_absolute_error: 2.45994779/4840 [============================>.] - ETA: 0s - loss: 10.5084 - mean_absolute_error: 2.46114834/4840 [============================>.] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46054840/4840 [==============================] - 5s 962us/step - loss: 10.5035 - mean_absolute_error: 2.4603 - val_loss: 11.4901 - val_mean_absolute_error: 2.5809
Epoch 58/100
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ETA: 0s - loss: 10.4665 - mean_absolute_error: 2.45754100/4840 [========================>.....] - ETA: 0s - loss: 10.4614 - mean_absolute_error: 2.45704155/4840 [========================>.....] - ETA: 0s - loss: 10.4656 - mean_absolute_error: 2.45764211/4840 [=========================>....] - ETA: 0s - loss: 10.4763 - mean_absolute_error: 2.45864267/4840 [=========================>....] - ETA: 0s - loss: 10.4779 - mean_absolute_error: 2.45864323/4840 [=========================>....] - ETA: 0s - loss: 10.4816 - mean_absolute_error: 2.45914376/4840 [==========================>...] - ETA: 0s - loss: 10.4866 - mean_absolute_error: 2.46014431/4840 [==========================>...] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.46064487/4840 [==========================>...] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46094544/4840 [===========================>..] - ETA: 0s - loss: 10.4985 - mean_absolute_error: 2.46164601/4840 [===========================>..] - ETA: 0s - loss: 10.4995 - mean_absolute_error: 2.46164657/4840 [===========================>..] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.46144712/4840 [============================>.] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.46074766/4840 [============================>.] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.46104821/4840 [============================>.] - ETA: 0s - loss: 10.5005 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 954us/step - loss: 10.5035 - mean_absolute_error: 2.4615 - val_loss: 11.4929 - val_mean_absolute_error: 2.5813
Epoch 59/100
   1/4840 [..............................] - ETA: 4s - loss: 3.7438 - mean_absolute_error: 1.5308  57/4840 [..............................] - ETA: 4s - loss: 9.7588 - mean_absolute_error: 2.3547 113/4840 [..............................] - ETA: 4s - loss: 10.2038 - mean_absolute_error: 2.3972 168/4840 [>.............................] - ETA: 4s - loss: 10.3798 - mean_absolute_error: 2.4234 224/4840 [>.............................] - ETA: 4s - loss: 10.2618 - mean_absolute_error: 2.4125 280/4840 [>.............................] - ETA: 4s - loss: 10.3596 - mean_absolute_error: 2.4317 336/4840 [=>............................] - ETA: 4s - loss: 10.3606 - mean_absolute_error: 2.4357 393/4840 [=>............................] - ETA: 3s - loss: 10.3151 - mean_absolute_error: 2.4318 449/4840 [=>............................] - ETA: 3s - loss: 10.3440 - mean_absolute_error: 2.4411 505/4840 [==>...........................] - ETA: 3s - loss: 10.3444 - mean_absolute_error: 2.4419 563/4840 [==>...........................] - 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ETA: 2s - loss: 10.4829 - mean_absolute_error: 2.46161799/4840 [==========>...................] - ETA: 2s - loss: 10.4817 - mean_absolute_error: 2.46141856/4840 [==========>...................] - ETA: 2s - loss: 10.4773 - mean_absolute_error: 2.46131912/4840 [==========>...................] - ETA: 2s - loss: 10.4752 - mean_absolute_error: 2.46011969/4840 [===========>..................] - ETA: 2s - loss: 10.4863 - mean_absolute_error: 2.46222025/4840 [===========>..................] - ETA: 2s - loss: 10.5035 - mean_absolute_error: 2.46542080/4840 [===========>..................] - ETA: 2s - loss: 10.4941 - mean_absolute_error: 2.46542136/4840 [============>.................] - ETA: 2s - loss: 10.5001 - mean_absolute_error: 2.46672193/4840 [============>.................] - ETA: 2s - loss: 10.4936 - mean_absolute_error: 2.46492248/4840 [============>.................] - ETA: 2s - loss: 10.5059 - mean_absolute_error: 2.46642304/4840 [=============>................] - ETA: 2s - loss: 10.5040 - 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ETA: 1s - loss: 10.5289 - mean_absolute_error: 2.46912971/4840 [=================>............] - ETA: 1s - loss: 10.5355 - mean_absolute_error: 2.47003027/4840 [=================>............] - ETA: 1s - loss: 10.5365 - mean_absolute_error: 2.47043081/4840 [==================>...........] - ETA: 1s - loss: 10.5312 - mean_absolute_error: 2.47003135/4840 [==================>...........] - ETA: 1s - loss: 10.5197 - mean_absolute_error: 2.46833190/4840 [==================>...........] - ETA: 1s - loss: 10.5098 - mean_absolute_error: 2.46683245/4840 [===================>..........] - ETA: 1s - loss: 10.5167 - mean_absolute_error: 2.46743301/4840 [===================>..........] - ETA: 1s - loss: 10.5215 - mean_absolute_error: 2.46783358/4840 [===================>..........] - ETA: 1s - loss: 10.5084 - mean_absolute_error: 2.46603415/4840 [====================>.........] - ETA: 1s - loss: 10.5125 - mean_absolute_error: 2.46643466/4840 [====================>.........] - ETA: 1s - loss: 10.5044 - mean_absolute_error: 2.46553510/4840 [====================>.........] - ETA: 1s - loss: 10.5011 - mean_absolute_error: 2.46503549/4840 [====================>.........] - ETA: 1s - loss: 10.5059 - mean_absolute_error: 2.46563587/4840 [=====================>........] - ETA: 1s - loss: 10.5080 - mean_absolute_error: 2.46583631/4840 [=====================>........] - ETA: 1s - loss: 10.5161 - mean_absolute_error: 2.46623678/4840 [=====================>........] - ETA: 1s - loss: 10.5214 - mean_absolute_error: 2.46653728/4840 [======================>.......] - ETA: 1s - loss: 10.5161 - mean_absolute_error: 2.46583781/4840 [======================>.......] - ETA: 0s - loss: 10.5149 - mean_absolute_error: 2.46563835/4840 [======================>.......] - ETA: 0s - loss: 10.5130 - mean_absolute_error: 2.46553890/4840 [=======================>......] - ETA: 0s - loss: 10.5067 - mean_absolute_error: 2.46463945/4840 [=======================>......] - ETA: 0s - loss: 10.5099 - mean_absolute_error: 2.46474001/4840 [=======================>......] - 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mean_absolute_error: 2.46144616/4840 [===========================>..] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.46084668/4840 [===========================>..] - ETA: 0s - loss: 10.4884 - mean_absolute_error: 2.46084723/4840 [============================>.] - ETA: 0s - loss: 10.4896 - mean_absolute_error: 2.46104779/4840 [============================>.] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.46184835/4840 [============================>.] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46214840/4840 [==============================] - 5s 963us/step - loss: 10.5027 - mean_absolute_error: 2.4624 - val_loss: 11.4937 - val_mean_absolute_error: 2.5808
Epoch 60/100
   1/4840 [..............................] - ETA: 9s - loss: 8.9021 - mean_absolute_error: 2.3706  58/4840 [..............................] - ETA: 4s - loss: 10.7060 - mean_absolute_error: 2.4953 114/4840 [..............................] - ETA: 4s - loss: 10.4359 - mean_absolute_error: 2.4529 169/4840 [>.............................] - ETA: 4s - loss: 10.2630 - mean_absolute_error: 2.4298 225/4840 [>.............................] - ETA: 4s - loss: 10.4082 - mean_absolute_error: 2.4502 281/4840 [>.............................] - ETA: 4s - loss: 10.4882 - mean_absolute_error: 2.4575 336/4840 [=>............................] - ETA: 4s - loss: 10.4256 - mean_absolute_error: 2.4482 391/4840 [=>............................] - ETA: 4s - loss: 10.3374 - mean_absolute_error: 2.4386 447/4840 [=>............................] - ETA: 3s - loss: 10.2642 - mean_absolute_error: 2.4316 505/4840 [==>...........................] - ETA: 3s - loss: 10.2532 - mean_absolute_error: 2.4304 561/4840 [==>...........................] - 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ETA: 2s - loss: 10.4779 - mean_absolute_error: 2.46001778/4840 [==========>...................] - ETA: 2s - loss: 10.4744 - mean_absolute_error: 2.46061834/4840 [==========>...................] - ETA: 2s - loss: 10.4744 - mean_absolute_error: 2.46051889/4840 [==========>...................] - ETA: 2s - loss: 10.4756 - mean_absolute_error: 2.46001943/4840 [===========>..................] - ETA: 2s - loss: 10.4716 - mean_absolute_error: 2.45981999/4840 [===========>..................] - ETA: 2s - loss: 10.4701 - mean_absolute_error: 2.45912054/4840 [===========>..................] - ETA: 2s - loss: 10.4593 - mean_absolute_error: 2.45772108/4840 [============>.................] - ETA: 2s - loss: 10.4648 - mean_absolute_error: 2.45832163/4840 [============>.................] - ETA: 2s - loss: 10.4761 - mean_absolute_error: 2.46012219/4840 [============>.................] - ETA: 2s - loss: 10.4720 - mean_absolute_error: 2.45842275/4840 [=============>................] - ETA: 2s - loss: 10.4665 - 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mean_absolute_error: 2.46204603/4840 [===========================>..] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46124658/4840 [===========================>..] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.46044714/4840 [============================>.] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46084770/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46144826/4840 [============================>.] - ETA: 0s - loss: 10.5052 - mean_absolute_error: 2.46144840/4840 [==============================] - 5s 963us/step - loss: 10.5030 - mean_absolute_error: 2.4611 - val_loss: 11.4923 - val_mean_absolute_error: 2.5812
Epoch 61/100
   1/4840 [..............................] - ETA: 4s - loss: 12.3967 - mean_absolute_error: 2.6531  54/4840 [..............................] - ETA: 4s - loss: 9.8256 - mean_absolute_error: 2.3810  109/4840 [..............................] - ETA: 4s - loss: 9.9782 - mean_absolute_error: 2.4030 164/4840 [>.............................] - ETA: 4s - loss: 10.0691 - mean_absolute_error: 2.4123 220/4840 [>.............................] - ETA: 4s - loss: 10.1729 - mean_absolute_error: 2.4218 277/4840 [>.............................] - ETA: 4s - loss: 10.1835 - mean_absolute_error: 2.4268 332/4840 [=>............................] - ETA: 4s - loss: 10.2599 - mean_absolute_error: 2.4345 387/4840 [=>............................] - ETA: 4s - loss: 10.2555 - mean_absolute_error: 2.4299 444/4840 [=>............................] - ETA: 3s - loss: 10.3097 - mean_absolute_error: 2.4426 497/4840 [==>...........................] - ETA: 3s - loss: 10.2647 - mean_absolute_error: 2.4347 553/4840 [==>...........................] - 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mean_absolute_error: 2.45693488/4840 [====================>.........] - ETA: 1s - loss: 10.4692 - mean_absolute_error: 2.45753543/4840 [====================>.........] - ETA: 1s - loss: 10.4753 - mean_absolute_error: 2.45823599/4840 [=====================>........] - ETA: 1s - loss: 10.4761 - mean_absolute_error: 2.45813655/4840 [=====================>........] - ETA: 1s - loss: 10.4802 - mean_absolute_error: 2.45893712/4840 [======================>.......] - ETA: 1s - loss: 10.4774 - mean_absolute_error: 2.45833767/4840 [======================>.......] - ETA: 0s - loss: 10.4707 - mean_absolute_error: 2.45763822/4840 [======================>.......] - ETA: 0s - loss: 10.4769 - mean_absolute_error: 2.45873878/4840 [=======================>......] - ETA: 0s - loss: 10.4855 - mean_absolute_error: 2.45963935/4840 [=======================>......] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.46013990/4840 [=======================>......] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46124046/4840 [========================>.....] - 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mean_absolute_error: 2.46174656/4840 [===========================>..] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.46114713/4840 [============================>.] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46114769/4840 [============================>.] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.46124825/4840 [============================>.] - ETA: 0s - loss: 10.5001 - mean_absolute_error: 2.46144840/4840 [==============================] - 5s 952us/step - loss: 10.5036 - mean_absolute_error: 2.4618 - val_loss: 11.4913 - val_mean_absolute_error: 2.5802
Epoch 62/100
   1/4840 [..............................] - ETA: 9s - loss: 8.1971 - mean_absolute_error: 2.0110  58/4840 [..............................] - ETA: 4s - loss: 10.5834 - mean_absolute_error: 2.4717 114/4840 [..............................] - ETA: 4s - loss: 10.2311 - mean_absolute_error: 2.4137 169/4840 [>.............................] - ETA: 4s - loss: 10.2300 - mean_absolute_error: 2.4241 225/4840 [>.............................] - ETA: 4s - loss: 10.3180 - mean_absolute_error: 2.4355 282/4840 [>.............................] - ETA: 4s - loss: 10.3663 - mean_absolute_error: 2.4426 339/4840 [=>............................] - ETA: 4s - loss: 10.3424 - mean_absolute_error: 2.4375 395/4840 [=>............................] - ETA: 3s - loss: 10.4354 - mean_absolute_error: 2.4548 450/4840 [=>............................] - ETA: 3s - loss: 10.4477 - mean_absolute_error: 2.4576 506/4840 [==>...........................] - ETA: 3s - loss: 10.4111 - mean_absolute_error: 2.4553 563/4840 [==>...........................] - ETA: 3s - loss: 10.3461 - mean_absolute_error: 2.4475 620/4840 [==>...........................] - ETA: 3s - loss: 10.3594 - mean_absolute_error: 2.4465 674/4840 [===>..........................] - ETA: 3s - loss: 10.3372 - mean_absolute_error: 2.4447 729/4840 [===>..........................] - ETA: 3s - loss: 10.3396 - mean_absolute_error: 2.4458 785/4840 [===>..........................] - ETA: 3s - loss: 10.3244 - mean_absolute_error: 2.4438 842/4840 [====>.........................] - ETA: 3s - loss: 10.3138 - mean_absolute_error: 2.4410 898/4840 [====>.........................] - ETA: 3s - loss: 10.2936 - mean_absolute_error: 2.4385 954/4840 [====>.........................] - ETA: 3s - loss: 10.3133 - mean_absolute_error: 2.44211008/4840 [=====>........................] - ETA: 3s - loss: 10.3324 - mean_absolute_error: 2.44391065/4840 [=====>........................] - ETA: 3s - loss: 10.3127 - mean_absolute_error: 2.44111120/4840 [=====>........................] - ETA: 3s - loss: 10.3523 - mean_absolute_error: 2.44601175/4840 [======>.......................] - ETA: 3s - loss: 10.3403 - mean_absolute_error: 2.44471230/4840 [======>.......................] - ETA: 3s - loss: 10.3400 - mean_absolute_error: 2.44361287/4840 [======>.......................] - ETA: 3s - loss: 10.3398 - mean_absolute_error: 2.44321343/4840 [=======>......................] - ETA: 3s - loss: 10.3489 - mean_absolute_error: 2.44321399/4840 [=======>......................] - ETA: 3s - loss: 10.3634 - mean_absolute_error: 2.44401454/4840 [========>.....................] - ETA: 3s - loss: 10.3934 - mean_absolute_error: 2.44921511/4840 [========>.....................] - ETA: 2s - loss: 10.3747 - mean_absolute_error: 2.44661566/4840 [========>.....................] - ETA: 2s - loss: 10.3657 - mean_absolute_error: 2.44491619/4840 [=========>....................] - ETA: 2s - loss: 10.3760 - mean_absolute_error: 2.44611674/4840 [=========>....................] - ETA: 2s - loss: 10.3666 - mean_absolute_error: 2.44461730/4840 [=========>....................] - ETA: 2s - loss: 10.3932 - mean_absolute_error: 2.44781785/4840 [==========>...................] - ETA: 2s - loss: 10.4006 - mean_absolute_error: 2.44901842/4840 [==========>...................] - ETA: 2s - loss: 10.3947 - mean_absolute_error: 2.44811897/4840 [==========>...................] - ETA: 2s - loss: 10.3919 - mean_absolute_error: 2.44761952/4840 [===========>..................] - ETA: 2s - loss: 10.3859 - mean_absolute_error: 2.44772009/4840 [===========>..................] - ETA: 2s - loss: 10.3831 - mean_absolute_error: 2.44702066/4840 [===========>..................] - ETA: 2s - loss: 10.3806 - mean_absolute_error: 2.44662120/4840 [============>.................] - ETA: 2s - loss: 10.3981 - mean_absolute_error: 2.44862176/4840 [============>.................] - ETA: 2s - loss: 10.3926 - mean_absolute_error: 2.44782230/4840 [============>.................] - ETA: 2s - loss: 10.4008 - mean_absolute_error: 2.44972286/4840 [=============>................] - ETA: 2s - loss: 10.3935 - mean_absolute_error: 2.44882343/4840 [=============>................] - ETA: 2s - loss: 10.3934 - mean_absolute_error: 2.44922398/4840 [=============>................] - ETA: 2s - loss: 10.3871 - mean_absolute_error: 2.44782453/4840 [==============>...............] - ETA: 2s - loss: 10.3878 - mean_absolute_error: 2.44772510/4840 [==============>...............] - ETA: 2s - loss: 10.3939 - mean_absolute_error: 2.44842566/4840 [==============>...............] - ETA: 2s - loss: 10.4048 - mean_absolute_error: 2.44992622/4840 [===============>..............] - ETA: 2s - loss: 10.4096 - mean_absolute_error: 2.45102677/4840 [===============>..............] - ETA: 1s - loss: 10.4103 - mean_absolute_error: 2.45092732/4840 [===============>..............] - ETA: 1s - loss: 10.4022 - mean_absolute_error: 2.44992789/4840 [================>.............] - ETA: 1s - loss: 10.3954 - mean_absolute_error: 2.44872845/4840 [================>.............] - ETA: 1s - loss: 10.4075 - mean_absolute_error: 2.45022899/4840 [================>.............] - 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mean_absolute_error: 2.45483510/4840 [====================>.........] - ETA: 1s - loss: 10.4534 - mean_absolute_error: 2.45613566/4840 [=====================>........] - ETA: 1s - loss: 10.4595 - mean_absolute_error: 2.45693621/4840 [=====================>........] - ETA: 1s - loss: 10.4633 - mean_absolute_error: 2.45743676/4840 [=====================>........] - ETA: 1s - loss: 10.4612 - mean_absolute_error: 2.45673732/4840 [======================>.......] - ETA: 1s - loss: 10.4649 - mean_absolute_error: 2.45733787/4840 [======================>.......] - ETA: 0s - loss: 10.4602 - mean_absolute_error: 2.45663841/4840 [======================>.......] - ETA: 0s - loss: 10.4715 - mean_absolute_error: 2.45783897/4840 [=======================>......] - ETA: 0s - loss: 10.4719 - mean_absolute_error: 2.45723952/4840 [=======================>......] - ETA: 0s - loss: 10.4784 - mean_absolute_error: 2.45774008/4840 [=======================>......] - ETA: 0s - loss: 10.4864 - mean_absolute_error: 2.45884063/4840 [========================>.....] - 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mean_absolute_error: 2.46064678/4840 [===========================>..] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46104734/4840 [============================>.] - ETA: 0s - loss: 10.5104 - mean_absolute_error: 2.46134789/4840 [============================>.] - ETA: 0s - loss: 10.5062 - mean_absolute_error: 2.46084840/4840 [==============================] - 5s 947us/step - loss: 10.5036 - mean_absolute_error: 2.4607 - val_loss: 11.4938 - val_mean_absolute_error: 2.5807
Epoch 63/100
   1/4840 [..............................] - ETA: 4s - loss: 6.7320 - mean_absolute_error: 1.9443  57/4840 [..............................] - ETA: 4s - loss: 10.4013 - mean_absolute_error: 2.4376 111/4840 [..............................] - ETA: 4s - loss: 10.0374 - mean_absolute_error: 2.4017 168/4840 [>.............................] - ETA: 4s - loss: 10.0450 - mean_absolute_error: 2.4027 223/4840 [>.............................] - ETA: 4s - loss: 10.1655 - mean_absolute_error: 2.4144 278/4840 [>.............................] - ETA: 4s - loss: 10.2496 - mean_absolute_error: 2.4243 334/4840 [=>............................] - ETA: 4s - loss: 10.2646 - mean_absolute_error: 2.4291 390/4840 [=>............................] - ETA: 4s - loss: 10.2417 - mean_absolute_error: 2.4211 444/4840 [=>............................] - ETA: 3s - loss: 10.3175 - mean_absolute_error: 2.4334 496/4840 [==>...........................] - ETA: 3s - loss: 10.3056 - mean_absolute_error: 2.4335 551/4840 [==>...........................] - 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mean_absolute_error: 2.45813511/4840 [====================>.........] - ETA: 1s - loss: 10.4654 - mean_absolute_error: 2.45803565/4840 [=====================>........] - ETA: 1s - loss: 10.4652 - mean_absolute_error: 2.45833621/4840 [=====================>........] - ETA: 1s - loss: 10.4634 - mean_absolute_error: 2.45783678/4840 [=====================>........] - ETA: 1s - loss: 10.4681 - mean_absolute_error: 2.45843735/4840 [======================>.......] - ETA: 0s - loss: 10.4660 - mean_absolute_error: 2.45773790/4840 [======================>.......] - ETA: 0s - loss: 10.4658 - mean_absolute_error: 2.45793845/4840 [======================>.......] - ETA: 0s - loss: 10.4748 - mean_absolute_error: 2.45893900/4840 [=======================>......] - ETA: 0s - loss: 10.4707 - mean_absolute_error: 2.45853957/4840 [=======================>......] - ETA: 0s - loss: 10.4771 - mean_absolute_error: 2.45904013/4840 [=======================>......] - ETA: 0s - loss: 10.4769 - mean_absolute_error: 2.45884070/4840 [========================>.....] - 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mean_absolute_error: 2.46054677/4840 [===========================>..] - ETA: 0s - loss: 10.5044 - mean_absolute_error: 2.46154732/4840 [============================>.] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46104789/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46064840/4840 [==============================] - 5s 949us/step - loss: 10.5030 - mean_absolute_error: 2.4607 - val_loss: 11.4954 - val_mean_absolute_error: 2.5811
Epoch 64/100
   1/4840 [..............................] - ETA: 9s - loss: 7.7748 - mean_absolute_error: 2.1782  57/4840 [..............................] - ETA: 4s - loss: 10.7024 - mean_absolute_error: 2.4805 114/4840 [..............................] - ETA: 4s - loss: 10.4702 - mean_absolute_error: 2.4466 171/4840 [>.............................] - ETA: 4s - loss: 10.5818 - mean_absolute_error: 2.4763 227/4840 [>.............................] - ETA: 4s - loss: 10.5824 - mean_absolute_error: 2.4717 281/4840 [>.............................] - ETA: 4s - loss: 10.6080 - mean_absolute_error: 2.4801 336/4840 [=>............................] - ETA: 4s - loss: 10.6110 - mean_absolute_error: 2.4754 391/4840 [=>............................] - ETA: 4s - loss: 10.5512 - mean_absolute_error: 2.4685 448/4840 [=>............................] - ETA: 3s - loss: 10.4882 - mean_absolute_error: 2.4596 504/4840 [==>...........................] - ETA: 3s - loss: 10.4831 - mean_absolute_error: 2.4594 561/4840 [==>...........................] - ETA: 3s - loss: 10.4225 - mean_absolute_error: 2.4527 616/4840 [==>...........................] - ETA: 3s - loss: 10.3967 - mean_absolute_error: 2.4537 672/4840 [===>..........................] - ETA: 3s - loss: 10.3499 - mean_absolute_error: 2.4452 728/4840 [===>..........................] - ETA: 3s - loss: 10.3609 - mean_absolute_error: 2.4469 783/4840 [===>..........................] - ETA: 3s - loss: 10.4030 - mean_absolute_error: 2.4508 839/4840 [====>.........................] - ETA: 3s - loss: 10.3843 - mean_absolute_error: 2.4472 895/4840 [====>.........................] - ETA: 3s - loss: 10.4106 - mean_absolute_error: 2.4508 950/4840 [====>.........................] - ETA: 3s - loss: 10.4557 - mean_absolute_error: 2.45511005/4840 [=====>........................] - ETA: 3s - loss: 10.4568 - mean_absolute_error: 2.45571060/4840 [=====>........................] - ETA: 3s - loss: 10.4766 - mean_absolute_error: 2.45641116/4840 [=====>........................] - ETA: 3s - loss: 10.4337 - 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ETA: 2s - loss: 10.3960 - mean_absolute_error: 2.44571792/4840 [==========>...................] - ETA: 2s - loss: 10.4050 - mean_absolute_error: 2.44561848/4840 [==========>...................] - ETA: 2s - loss: 10.4152 - mean_absolute_error: 2.44711902/4840 [==========>...................] - ETA: 2s - loss: 10.4234 - mean_absolute_error: 2.44851957/4840 [===========>..................] - ETA: 2s - loss: 10.4298 - mean_absolute_error: 2.44932014/4840 [===========>..................] - ETA: 2s - loss: 10.4397 - mean_absolute_error: 2.45092070/4840 [===========>..................] - ETA: 2s - loss: 10.4464 - mean_absolute_error: 2.45172126/4840 [============>.................] - ETA: 2s - loss: 10.4455 - mean_absolute_error: 2.45212182/4840 [============>.................] - ETA: 2s - loss: 10.4358 - mean_absolute_error: 2.45132240/4840 [============>.................] - ETA: 2s - loss: 10.4339 - mean_absolute_error: 2.45152295/4840 [=============>................] - ETA: 2s - loss: 10.4359 - 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ETA: 1s - loss: 10.4704 - mean_absolute_error: 2.45632966/4840 [=================>............] - ETA: 1s - loss: 10.4801 - mean_absolute_error: 2.45743019/4840 [=================>............] - ETA: 1s - loss: 10.4771 - mean_absolute_error: 2.45713074/4840 [==================>...........] - ETA: 1s - loss: 10.4776 - mean_absolute_error: 2.45683130/4840 [==================>...........] - ETA: 1s - loss: 10.4801 - mean_absolute_error: 2.45723186/4840 [==================>...........] - ETA: 1s - loss: 10.4801 - mean_absolute_error: 2.45743241/4840 [===================>..........] - ETA: 1s - loss: 10.4851 - mean_absolute_error: 2.45803297/4840 [===================>..........] - ETA: 1s - loss: 10.5002 - mean_absolute_error: 2.45983353/4840 [===================>..........] - ETA: 1s - loss: 10.4996 - mean_absolute_error: 2.46023410/4840 [====================>.........] - ETA: 1s - loss: 10.5041 - mean_absolute_error: 2.46073465/4840 [====================>.........] - ETA: 1s - loss: 10.5057 - mean_absolute_error: 2.46113522/4840 [====================>.........] - ETA: 1s - loss: 10.5056 - mean_absolute_error: 2.46093578/4840 [=====================>........] - ETA: 1s - loss: 10.5024 - mean_absolute_error: 2.46043635/4840 [=====================>........] - ETA: 1s - loss: 10.5065 - mean_absolute_error: 2.46143690/4840 [=====================>........] - ETA: 1s - loss: 10.5165 - mean_absolute_error: 2.46253745/4840 [======================>.......] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46073802/4840 [======================>.......] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46013859/4840 [======================>.......] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46003915/4840 [=======================>......] - ETA: 0s - loss: 10.4887 - mean_absolute_error: 2.45863970/4840 [=======================>......] - ETA: 0s - loss: 10.4909 - mean_absolute_error: 2.45894024/4840 [=======================>......] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.45874080/4840 [========================>.....] - ETA: 0s - loss: 10.4947 - mean_absolute_error: 2.45934136/4840 [========================>.....] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.45854192/4840 [========================>.....] - ETA: 0s - loss: 10.5005 - mean_absolute_error: 2.46024246/4840 [=========================>....] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.45974302/4840 [=========================>....] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.45974358/4840 [==========================>...] - ETA: 0s - loss: 10.4997 - mean_absolute_error: 2.46034413/4840 [==========================>...] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.46054468/4840 [==========================>...] - ETA: 0s - loss: 10.5095 - mean_absolute_error: 2.46194524/4840 [===========================>..] - ETA: 0s - loss: 10.5080 - mean_absolute_error: 2.46184580/4840 [===========================>..] - ETA: 0s - loss: 10.5015 - mean_absolute_error: 2.46154635/4840 [===========================>..] - ETA: 0s - loss: 10.5051 - mean_absolute_error: 2.46214688/4840 [============================>.] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46164743/4840 [============================>.] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46174798/4840 [============================>.] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46184840/4840 [==============================] - 5s 948us/step - loss: 10.5030 - mean_absolute_error: 2.4612 - val_loss: 11.4964 - val_mean_absolute_error: 2.5811
Epoch 65/100
   1/4840 [..............................] - ETA: 9s - loss: 12.8251 - mean_absolute_error: 2.7788  57/4840 [..............................] - ETA: 4s - loss: 10.0346 - mean_absolute_error: 2.4368 113/4840 [..............................] - ETA: 4s - loss: 10.4692 - mean_absolute_error: 2.4807 168/4840 [>.............................] - ETA: 4s - loss: 10.4643 - mean_absolute_error: 2.4760 223/4840 [>.............................] - ETA: 4s - loss: 10.5244 - mean_absolute_error: 2.4810 279/4840 [>.............................] - ETA: 4s - loss: 10.5170 - mean_absolute_error: 2.4749 334/4840 [=>............................] - ETA: 4s - loss: 10.5198 - mean_absolute_error: 2.4698 391/4840 [=>............................] - ETA: 4s - loss: 10.4972 - mean_absolute_error: 2.4653 445/4840 [=>............................] - ETA: 3s - loss: 10.5503 - mean_absolute_error: 2.4664 500/4840 [==>...........................] - ETA: 3s - loss: 10.5031 - mean_absolute_error: 2.4587 556/4840 [==>...........................] - 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ETA: 2s - loss: 10.4944 - mean_absolute_error: 2.45701768/4840 [=========>....................] - ETA: 2s - loss: 10.4886 - mean_absolute_error: 2.45631814/4840 [==========>...................] - ETA: 2s - loss: 10.4881 - mean_absolute_error: 2.45591862/4840 [==========>...................] - ETA: 2s - loss: 10.4964 - mean_absolute_error: 2.45691909/4840 [==========>...................] - ETA: 2s - loss: 10.4946 - mean_absolute_error: 2.45611959/4840 [===========>..................] - ETA: 2s - loss: 10.5000 - mean_absolute_error: 2.45782006/4840 [===========>..................] - ETA: 2s - loss: 10.4955 - mean_absolute_error: 2.45762055/4840 [===========>..................] - ETA: 2s - loss: 10.5108 - mean_absolute_error: 2.45982107/4840 [============>.................] - ETA: 2s - loss: 10.4925 - mean_absolute_error: 2.45792163/4840 [============>.................] - ETA: 2s - loss: 10.4943 - mean_absolute_error: 2.45852218/4840 [============>.................] - ETA: 2s - loss: 10.4911 - 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mean_absolute_error: 2.45873443/4840 [====================>.........] - ETA: 1s - loss: 10.4937 - mean_absolute_error: 2.45903497/4840 [====================>.........] - ETA: 1s - loss: 10.4902 - mean_absolute_error: 2.45863552/4840 [=====================>........] - ETA: 1s - loss: 10.4886 - mean_absolute_error: 2.45853607/4840 [=====================>........] - ETA: 1s - loss: 10.4901 - mean_absolute_error: 2.45893663/4840 [=====================>........] - ETA: 1s - loss: 10.4879 - mean_absolute_error: 2.45903718/4840 [======================>.......] - ETA: 1s - loss: 10.4982 - mean_absolute_error: 2.46043774/4840 [======================>.......] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46043830/4840 [======================>.......] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.46043888/4840 [=======================>......] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46123943/4840 [=======================>......] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.45993998/4840 [=======================>......] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.45984054/4840 [========================>.....] - ETA: 0s - loss: 10.4965 - mean_absolute_error: 2.46014110/4840 [========================>.....] - ETA: 0s - loss: 10.4950 - mean_absolute_error: 2.46014167/4840 [========================>.....] - ETA: 0s - loss: 10.5013 - mean_absolute_error: 2.46094224/4840 [=========================>....] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46084280/4840 [=========================>....] - ETA: 0s - loss: 10.5009 - mean_absolute_error: 2.46114334/4840 [=========================>....] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46164389/4840 [==========================>...] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46204445/4840 [==========================>...] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.46124501/4840 [==========================>...] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46104558/4840 [===========================>..] - ETA: 0s - loss: 10.5041 - mean_absolute_error: 2.46204613/4840 [===========================>..] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46204668/4840 [===========================>..] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46164722/4840 [============================>.] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46114779/4840 [============================>.] - ETA: 0s - loss: 10.4993 - mean_absolute_error: 2.46184834/4840 [============================>.] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46194840/4840 [==============================] - 5s 963us/step - loss: 10.5026 - mean_absolute_error: 2.4623 - val_loss: 11.4986 - val_mean_absolute_error: 2.5813
Epoch 66/100
   1/4840 [..............................] - ETA: 9s - loss: 7.4802 - mean_absolute_error: 2.1178  57/4840 [..............................] - ETA: 4s - loss: 10.3740 - mean_absolute_error: 2.4473 114/4840 [..............................] - ETA: 4s - loss: 10.2513 - mean_absolute_error: 2.4228 171/4840 [>.............................] - ETA: 4s - loss: 10.4727 - mean_absolute_error: 2.4513 227/4840 [>.............................] - ETA: 4s - loss: 10.5037 - mean_absolute_error: 2.4509 283/4840 [>.............................] - ETA: 4s - loss: 10.4611 - mean_absolute_error: 2.4488 338/4840 [=>............................] - ETA: 4s - loss: 10.4935 - mean_absolute_error: 2.4565 393/4840 [=>............................] - ETA: 4s - loss: 10.5060 - mean_absolute_error: 2.4568 449/4840 [=>............................] - ETA: 3s - loss: 10.5453 - mean_absolute_error: 2.4628 503/4840 [==>...........................] - ETA: 3s - loss: 10.5096 - mean_absolute_error: 2.4608 558/4840 [==>...........................] - ETA: 3s - loss: 10.5531 - mean_absolute_error: 2.4686 614/4840 [==>...........................] - ETA: 3s - loss: 10.5259 - mean_absolute_error: 2.4670 670/4840 [===>..........................] - ETA: 3s - loss: 10.4907 - mean_absolute_error: 2.4625 726/4840 [===>..........................] - ETA: 3s - loss: 10.4799 - mean_absolute_error: 2.4622 782/4840 [===>..........................] - ETA: 3s - loss: 10.4533 - mean_absolute_error: 2.4601 839/4840 [====>.........................] - ETA: 3s - loss: 10.4876 - mean_absolute_error: 2.4643 895/4840 [====>.........................] - ETA: 3s - loss: 10.4840 - mean_absolute_error: 2.4638 950/4840 [====>.........................] - ETA: 3s - loss: 10.4779 - mean_absolute_error: 2.46181006/4840 [=====>........................] - ETA: 3s - loss: 10.4543 - mean_absolute_error: 2.45791063/4840 [=====>........................] - ETA: 3s - loss: 10.5014 - mean_absolute_error: 2.46241118/4840 [=====>........................] - ETA: 3s - loss: 10.4928 - 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mean_absolute_error: 2.45562344/4840 [=============>................] - ETA: 2s - loss: 10.4349 - mean_absolute_error: 2.45502401/4840 [=============>................] - ETA: 2s - loss: 10.4439 - mean_absolute_error: 2.45632457/4840 [==============>...............] - ETA: 2s - loss: 10.4475 - mean_absolute_error: 2.45672514/4840 [==============>...............] - ETA: 2s - loss: 10.4429 - mean_absolute_error: 2.45542569/4840 [==============>...............] - ETA: 2s - loss: 10.4470 - mean_absolute_error: 2.45612624/4840 [===============>..............] - ETA: 2s - loss: 10.4494 - mean_absolute_error: 2.45632678/4840 [===============>..............] - ETA: 1s - loss: 10.4546 - mean_absolute_error: 2.45642734/4840 [===============>..............] - ETA: 1s - loss: 10.4504 - mean_absolute_error: 2.45602790/4840 [================>.............] - ETA: 1s - loss: 10.4446 - mean_absolute_error: 2.45562846/4840 [================>.............] - ETA: 1s - loss: 10.4501 - mean_absolute_error: 2.45692901/4840 [================>.............] - 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mean_absolute_error: 2.45883510/4840 [====================>.........] - ETA: 1s - loss: 10.4744 - mean_absolute_error: 2.45883566/4840 [=====================>........] - ETA: 1s - loss: 10.4753 - mean_absolute_error: 2.45863623/4840 [=====================>........] - ETA: 1s - loss: 10.4640 - mean_absolute_error: 2.45693680/4840 [=====================>........] - ETA: 1s - loss: 10.4849 - mean_absolute_error: 2.45963734/4840 [======================>.......] - ETA: 1s - loss: 10.4892 - mean_absolute_error: 2.46033787/4840 [======================>.......] - ETA: 0s - loss: 10.4924 - mean_absolute_error: 2.46093842/4840 [======================>.......] - ETA: 0s - loss: 10.4826 - mean_absolute_error: 2.45943897/4840 [=======================>......] - ETA: 0s - loss: 10.4766 - mean_absolute_error: 2.45883952/4840 [=======================>......] - ETA: 0s - loss: 10.4623 - mean_absolute_error: 2.45714006/4840 [=======================>......] - ETA: 0s - loss: 10.4586 - mean_absolute_error: 2.45684061/4840 [========================>.....] - ETA: 0s - loss: 10.4634 - mean_absolute_error: 2.45734117/4840 [========================>.....] - ETA: 0s - loss: 10.4766 - mean_absolute_error: 2.45894173/4840 [========================>.....] - ETA: 0s - loss: 10.4749 - mean_absolute_error: 2.45904226/4840 [=========================>....] - ETA: 0s - loss: 10.4796 - mean_absolute_error: 2.45984280/4840 [=========================>....] - ETA: 0s - loss: 10.4808 - mean_absolute_error: 2.46014336/4840 [=========================>....] - ETA: 0s - loss: 10.4839 - mean_absolute_error: 2.46074388/4840 [==========================>...] - ETA: 0s - loss: 10.4876 - mean_absolute_error: 2.46114441/4840 [==========================>...] - ETA: 0s - loss: 10.4873 - mean_absolute_error: 2.46104495/4840 [==========================>...] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46194550/4840 [===========================>..] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.46204604/4840 [===========================>..] - ETA: 0s - loss: 10.4977 - mean_absolute_error: 2.46194659/4840 [===========================>..] - ETA: 0s - loss: 10.4957 - mean_absolute_error: 2.46134714/4840 [============================>.] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46134770/4840 [============================>.] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46134826/4840 [============================>.] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46174840/4840 [==============================] - 5s 953us/step - loss: 10.5029 - mean_absolute_error: 2.4616 - val_loss: 11.4994 - val_mean_absolute_error: 2.5803
Epoch 67/100
   1/4840 [..............................] - ETA: 4s - loss: 9.3882 - mean_absolute_error: 2.3168  55/4840 [..............................] - ETA: 4s - loss: 10.2056 - mean_absolute_error: 2.4363 111/4840 [..............................] - ETA: 4s - loss: 10.3518 - mean_absolute_error: 2.4593 164/4840 [>.............................] - ETA: 4s - loss: 10.4808 - mean_absolute_error: 2.4665 219/4840 [>.............................] - ETA: 4s - loss: 10.3985 - mean_absolute_error: 2.4525 277/4840 [>.............................] - ETA: 4s - loss: 10.2206 - mean_absolute_error: 2.4381 334/4840 [=>............................] - ETA: 4s - loss: 10.2767 - mean_absolute_error: 2.4426 391/4840 [=>............................] - ETA: 4s - loss: 10.3106 - mean_absolute_error: 2.4451 444/4840 [=>............................] - ETA: 4s - loss: 10.3077 - mean_absolute_error: 2.4473 498/4840 [==>...........................] - ETA: 3s - loss: 10.3838 - mean_absolute_error: 2.4568 554/4840 [==>...........................] - ETA: 3s - loss: 10.3734 - mean_absolute_error: 2.4531 608/4840 [==>...........................] - ETA: 3s - loss: 10.3729 - mean_absolute_error: 2.4518 664/4840 [===>..........................] - ETA: 3s - loss: 10.4151 - mean_absolute_error: 2.4569 720/4840 [===>..........................] - ETA: 3s - loss: 10.4272 - mean_absolute_error: 2.4581 776/4840 [===>..........................] - ETA: 3s - loss: 10.4092 - mean_absolute_error: 2.4543 832/4840 [====>.........................] - ETA: 3s - loss: 10.3646 - mean_absolute_error: 2.4486 889/4840 [====>.........................] - ETA: 3s - loss: 10.3801 - mean_absolute_error: 2.4501 945/4840 [====>.........................] - ETA: 3s - loss: 10.3710 - mean_absolute_error: 2.44841000/4840 [=====>........................] - ETA: 3s - loss: 10.4093 - mean_absolute_error: 2.45431055/4840 [=====>........................] - ETA: 3s - loss: 10.4239 - mean_absolute_error: 2.45691110/4840 [=====>........................] - ETA: 3s - loss: 10.3933 - mean_absolute_error: 2.45211167/4840 [======>.......................] - ETA: 3s - loss: 10.3906 - mean_absolute_error: 2.45181223/4840 [======>.......................] - ETA: 3s - loss: 10.3843 - mean_absolute_error: 2.45171279/4840 [======>.......................] - ETA: 3s - loss: 10.3844 - mean_absolute_error: 2.45041335/4840 [=======>......................] - ETA: 3s - loss: 10.3908 - mean_absolute_error: 2.45251390/4840 [=======>......................] - ETA: 3s - loss: 10.3839 - mean_absolute_error: 2.45181446/4840 [=======>......................] - ETA: 3s - loss: 10.3924 - mean_absolute_error: 2.45281502/4840 [========>.....................] - ETA: 3s - loss: 10.4105 - mean_absolute_error: 2.45361558/4840 [========>.....................] - ETA: 2s - loss: 10.4291 - mean_absolute_error: 2.45581615/4840 [=========>....................] - ETA: 2s - loss: 10.4490 - mean_absolute_error: 2.45771670/4840 [=========>....................] - ETA: 2s - loss: 10.4455 - mean_absolute_error: 2.45721725/4840 [=========>....................] - ETA: 2s - loss: 10.4556 - mean_absolute_error: 2.45871782/4840 [==========>...................] - ETA: 2s - loss: 10.4688 - mean_absolute_error: 2.46071838/4840 [==========>...................] - ETA: 2s - loss: 10.4806 - mean_absolute_error: 2.46181894/4840 [==========>...................] - ETA: 2s - loss: 10.4745 - mean_absolute_error: 2.46091949/4840 [===========>..................] - ETA: 2s - loss: 10.4634 - mean_absolute_error: 2.45902006/4840 [===========>..................] - ETA: 2s - loss: 10.4599 - mean_absolute_error: 2.45922062/4840 [===========>..................] - ETA: 2s - loss: 10.4658 - mean_absolute_error: 2.46062111/4840 [============>.................] - ETA: 2s - loss: 10.4873 - mean_absolute_error: 2.46382159/4840 [============>.................] - ETA: 2s - loss: 10.4717 - mean_absolute_error: 2.46172205/4840 [============>.................] - ETA: 2s - loss: 10.4720 - mean_absolute_error: 2.46182250/4840 [============>.................] - ETA: 2s - loss: 10.4530 - 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mean_absolute_error: 2.46084627/4840 [===========================>..] - ETA: 0s - loss: 10.5036 - mean_absolute_error: 2.46114683/4840 [============================>.] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46074740/4840 [============================>.] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.45994796/4840 [============================>.] - ETA: 0s - loss: 10.4949 - mean_absolute_error: 2.45974840/4840 [==============================] - 5s 957us/step - loss: 10.5033 - mean_absolute_error: 2.4608 - val_loss: 11.4976 - val_mean_absolute_error: 2.5801
Epoch 68/100
   1/4840 [..............................] - ETA: 4s - loss: 5.4760 - mean_absolute_error: 1.7707  57/4840 [..............................] - ETA: 4s - loss: 9.9320 - mean_absolute_error: 2.3902 114/4840 [..............................] - ETA: 4s - loss: 9.8919 - mean_absolute_error: 2.3800 170/4840 [>.............................] - ETA: 4s - loss: 9.9472 - mean_absolute_error: 2.3957 225/4840 [>.............................] - ETA: 4s - loss: 9.8915 - mean_absolute_error: 2.3893 281/4840 [>.............................] - ETA: 4s - loss: 9.9682 - mean_absolute_error: 2.4053 338/4840 [=>............................] - ETA: 4s - loss: 10.0600 - mean_absolute_error: 2.4153 393/4840 [=>............................] - ETA: 4s - loss: 10.0441 - mean_absolute_error: 2.4111 449/4840 [=>............................] - ETA: 3s - loss: 10.1657 - mean_absolute_error: 2.4249 504/4840 [==>...........................] - ETA: 3s - loss: 10.1803 - mean_absolute_error: 2.4291 561/4840 [==>...........................] - 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mean_absolute_error: 2.45924645/4840 [===========================>..] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46004702/4840 [============================>.] - ETA: 0s - loss: 10.5077 - mean_absolute_error: 2.46064756/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.45964811/4840 [============================>.] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46034840/4840 [==============================] - 5s 956us/step - loss: 10.5032 - mean_absolute_error: 2.4599 - val_loss: 11.4966 - val_mean_absolute_error: 2.5807
Epoch 69/100
   1/4840 [..............................] - ETA: 4s - loss: 15.4949 - mean_absolute_error: 2.8737  57/4840 [..............................] - ETA: 4s - loss: 10.8754 - mean_absolute_error: 2.4954 113/4840 [..............................] - ETA: 4s - loss: 10.3123 - mean_absolute_error: 2.4332 168/4840 [>.............................] - ETA: 4s - loss: 10.2305 - mean_absolute_error: 2.4225 223/4840 [>.............................] - ETA: 4s - loss: 10.3399 - mean_absolute_error: 2.4326 281/4840 [>.............................] - ETA: 4s - loss: 10.3787 - mean_absolute_error: 2.4354 338/4840 [=>............................] - ETA: 4s - loss: 10.3981 - mean_absolute_error: 2.4375 394/4840 [=>............................] - ETA: 3s - loss: 10.4471 - mean_absolute_error: 2.4403 449/4840 [=>............................] - ETA: 3s - loss: 10.5031 - mean_absolute_error: 2.4473 506/4840 [==>...........................] - ETA: 3s - loss: 10.4053 - mean_absolute_error: 2.4355 562/4840 [==>...........................] - ETA: 3s - loss: 10.4492 - mean_absolute_error: 2.4457 619/4840 [==>...........................] - ETA: 3s - loss: 10.4418 - mean_absolute_error: 2.4444 674/4840 [===>..........................] - ETA: 3s - loss: 10.5089 - mean_absolute_error: 2.4525 729/4840 [===>..........................] - ETA: 3s - loss: 10.4986 - mean_absolute_error: 2.4515 784/4840 [===>..........................] - ETA: 3s - loss: 10.4598 - mean_absolute_error: 2.4464 841/4840 [====>.........................] - ETA: 3s - loss: 10.3943 - mean_absolute_error: 2.4395 897/4840 [====>.........................] - ETA: 3s - loss: 10.4004 - mean_absolute_error: 2.4409 952/4840 [====>.........................] - ETA: 3s - loss: 10.4230 - mean_absolute_error: 2.44531006/4840 [=====>........................] - ETA: 3s - loss: 10.3988 - mean_absolute_error: 2.44421062/4840 [=====>........................] - ETA: 3s - loss: 10.3992 - mean_absolute_error: 2.44431118/4840 [=====>........................] - ETA: 3s - loss: 10.3915 - mean_absolute_error: 2.44401175/4840 [======>.......................] - ETA: 3s - loss: 10.3938 - mean_absolute_error: 2.44401231/4840 [======>.......................] - ETA: 3s - loss: 10.3906 - mean_absolute_error: 2.44301285/4840 [======>.......................] - ETA: 3s - loss: 10.3785 - mean_absolute_error: 2.44081340/4840 [=======>......................] - ETA: 3s - loss: 10.3986 - mean_absolute_error: 2.44301395/4840 [=======>......................] - ETA: 3s - loss: 10.4167 - mean_absolute_error: 2.44541450/4840 [=======>......................] - ETA: 3s - loss: 10.4144 - mean_absolute_error: 2.44531507/4840 [========>.....................] - ETA: 3s - loss: 10.4189 - mean_absolute_error: 2.44711563/4840 [========>.....................] - ETA: 2s - loss: 10.4212 - mean_absolute_error: 2.44711621/4840 [=========>....................] - ETA: 2s - loss: 10.4139 - mean_absolute_error: 2.44651676/4840 [=========>....................] - ETA: 2s - loss: 10.4406 - mean_absolute_error: 2.45011729/4840 [=========>....................] - ETA: 2s - loss: 10.4351 - mean_absolute_error: 2.44971785/4840 [==========>...................] - ETA: 2s - loss: 10.4251 - mean_absolute_error: 2.44901840/4840 [==========>...................] - ETA: 2s - loss: 10.4329 - mean_absolute_error: 2.45061896/4840 [==========>...................] - ETA: 2s - loss: 10.4250 - mean_absolute_error: 2.44971952/4840 [===========>..................] - ETA: 2s - loss: 10.4273 - mean_absolute_error: 2.45042007/4840 [===========>..................] - ETA: 2s - loss: 10.4412 - mean_absolute_error: 2.45222063/4840 [===========>..................] - ETA: 2s - loss: 10.4495 - mean_absolute_error: 2.45352117/4840 [============>.................] - ETA: 2s - loss: 10.4626 - mean_absolute_error: 2.45432173/4840 [============>.................] - ETA: 2s - loss: 10.4629 - mean_absolute_error: 2.45502229/4840 [============>.................] - ETA: 2s - loss: 10.4643 - mean_absolute_error: 2.45492285/4840 [=============>................] - ETA: 2s - loss: 10.4705 - mean_absolute_error: 2.45532340/4840 [=============>................] - ETA: 2s - loss: 10.4778 - mean_absolute_error: 2.45622395/4840 [=============>................] - ETA: 2s - loss: 10.4635 - mean_absolute_error: 2.45482448/4840 [==============>...............] - ETA: 2s - loss: 10.4656 - mean_absolute_error: 2.45532499/4840 [==============>...............] - ETA: 2s - loss: 10.4668 - mean_absolute_error: 2.45582554/4840 [==============>...............] - ETA: 2s - loss: 10.4658 - mean_absolute_error: 2.45542610/4840 [===============>..............] - ETA: 2s - loss: 10.4605 - mean_absolute_error: 2.45572666/4840 [===============>..............] - ETA: 1s - loss: 10.4565 - mean_absolute_error: 2.45522723/4840 [===============>..............] - ETA: 1s - loss: 10.4578 - mean_absolute_error: 2.45552779/4840 [================>.............] - ETA: 1s - loss: 10.4616 - mean_absolute_error: 2.45592835/4840 [================>.............] - ETA: 1s - loss: 10.4667 - mean_absolute_error: 2.45642890/4840 [================>.............] - ETA: 1s - loss: 10.4698 - mean_absolute_error: 2.45732946/4840 [=================>............] - ETA: 1s - loss: 10.4655 - mean_absolute_error: 2.45663002/4840 [=================>............] - ETA: 1s - loss: 10.4578 - mean_absolute_error: 2.45573057/4840 [=================>............] - ETA: 1s - loss: 10.4419 - mean_absolute_error: 2.45383111/4840 [==================>...........] - ETA: 1s - loss: 10.4387 - mean_absolute_error: 2.45383166/4840 [==================>...........] - ETA: 1s - loss: 10.4301 - mean_absolute_error: 2.45293220/4840 [==================>...........] - ETA: 1s - loss: 10.4381 - mean_absolute_error: 2.45393275/4840 [===================>..........] - ETA: 1s - loss: 10.4435 - mean_absolute_error: 2.45453332/4840 [===================>..........] - ETA: 1s - loss: 10.4377 - mean_absolute_error: 2.45403385/4840 [===================>..........] - ETA: 1s - loss: 10.4512 - mean_absolute_error: 2.45603438/4840 [====================>.........] - ETA: 1s - loss: 10.4551 - mean_absolute_error: 2.45653492/4840 [====================>.........] - ETA: 1s - loss: 10.4601 - mean_absolute_error: 2.45693547/4840 [====================>.........] - ETA: 1s - loss: 10.4608 - mean_absolute_error: 2.45713602/4840 [=====================>........] - ETA: 1s - loss: 10.4694 - mean_absolute_error: 2.45773657/4840 [=====================>........] - ETA: 1s - loss: 10.4714 - mean_absolute_error: 2.45783712/4840 [======================>.......] - ETA: 1s - loss: 10.4726 - mean_absolute_error: 2.45793768/4840 [======================>.......] - ETA: 0s - loss: 10.4643 - mean_absolute_error: 2.45723823/4840 [======================>.......] - ETA: 0s - loss: 10.4617 - mean_absolute_error: 2.45693879/4840 [=======================>......] - ETA: 0s - loss: 10.4578 - mean_absolute_error: 2.45603934/4840 [=======================>......] - ETA: 0s - loss: 10.4665 - mean_absolute_error: 2.45703989/4840 [=======================>......] - ETA: 0s - loss: 10.4595 - mean_absolute_error: 2.45624045/4840 [========================>.....] - ETA: 0s - loss: 10.4575 - mean_absolute_error: 2.45584100/4840 [========================>.....] - ETA: 0s - loss: 10.4614 - mean_absolute_error: 2.45634156/4840 [========================>.....] - ETA: 0s - loss: 10.4688 - mean_absolute_error: 2.45734212/4840 [=========================>....] - ETA: 0s - loss: 10.4701 - mean_absolute_error: 2.45734268/4840 [=========================>....] - ETA: 0s - loss: 10.4695 - mean_absolute_error: 2.45714323/4840 [=========================>....] - ETA: 0s - loss: 10.4638 - mean_absolute_error: 2.45664378/4840 [==========================>...] - ETA: 0s - loss: 10.4617 - mean_absolute_error: 2.45664435/4840 [==========================>...] - ETA: 0s - loss: 10.4671 - mean_absolute_error: 2.45714491/4840 [==========================>...] - ETA: 0s - loss: 10.4742 - mean_absolute_error: 2.45804548/4840 [===========================>..] - ETA: 0s - loss: 10.4748 - mean_absolute_error: 2.45794604/4840 [===========================>..] - ETA: 0s - loss: 10.4834 - mean_absolute_error: 2.45894661/4840 [===========================>..] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.45984718/4840 [============================>.] - ETA: 0s - loss: 10.4982 - mean_absolute_error: 2.46074774/4840 [============================>.] - ETA: 0s - loss: 10.5038 - mean_absolute_error: 2.46134832/4840 [============================>.] - ETA: 0s - loss: 10.5040 - mean_absolute_error: 2.46164840/4840 [==============================] - 5s 960us/step - loss: 10.5029 - mean_absolute_error: 2.4614 - val_loss: 11.4948 - val_mean_absolute_error: 2.5808
Epoch 70/100
   1/4840 [..............................] - ETA: 4s - loss: 8.2359 - mean_absolute_error: 2.0403  58/4840 [..............................] - ETA: 4s - loss: 10.6146 - mean_absolute_error: 2.4763 116/4840 [..............................] - ETA: 4s - loss: 10.2708 - mean_absolute_error: 2.4295 173/4840 [>.............................] - ETA: 4s - loss: 10.2932 - mean_absolute_error: 2.4357 230/4840 [>.............................] - ETA: 4s - loss: 10.3016 - mean_absolute_error: 2.4362 287/4840 [>.............................] - ETA: 4s - loss: 10.4032 - mean_absolute_error: 2.4435 343/4840 [=>............................] - ETA: 3s - loss: 10.3458 - mean_absolute_error: 2.4353 400/4840 [=>............................] - ETA: 3s - loss: 10.3663 - mean_absolute_error: 2.4393 457/4840 [=>............................] - ETA: 3s - loss: 10.4993 - mean_absolute_error: 2.4567 512/4840 [==>...........................] - ETA: 3s - loss: 10.4715 - mean_absolute_error: 2.4541 567/4840 [==>...........................] - ETA: 3s - loss: 10.4660 - mean_absolute_error: 2.4547 624/4840 [==>...........................] - ETA: 3s - loss: 10.4093 - mean_absolute_error: 2.4484 680/4840 [===>..........................] - ETA: 3s - loss: 10.4098 - mean_absolute_error: 2.4508 736/4840 [===>..........................] - ETA: 3s - loss: 10.3995 - mean_absolute_error: 2.4464 794/4840 [===>..........................] - ETA: 3s - loss: 10.3945 - mean_absolute_error: 2.4447 853/4840 [====>.........................] - ETA: 3s - loss: 10.4043 - mean_absolute_error: 2.4453 910/4840 [====>.........................] - ETA: 3s - loss: 10.4232 - mean_absolute_error: 2.4486 966/4840 [====>.........................] - ETA: 3s - loss: 10.4196 - mean_absolute_error: 2.44991024/4840 [=====>........................] - ETA: 3s - loss: 10.4466 - mean_absolute_error: 2.45361082/4840 [=====>........................] - ETA: 3s - loss: 10.4358 - mean_absolute_error: 2.45151139/4840 [======>.......................] - ETA: 3s - loss: 10.4233 - 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ETA: 2s - loss: 10.4435 - mean_absolute_error: 2.45411825/4840 [==========>...................] - ETA: 2s - loss: 10.4286 - mean_absolute_error: 2.45171881/4840 [==========>...................] - ETA: 2s - loss: 10.4124 - mean_absolute_error: 2.44991937/4840 [===========>..................] - ETA: 2s - loss: 10.4272 - mean_absolute_error: 2.45131988/4840 [===========>..................] - ETA: 2s - loss: 10.4264 - mean_absolute_error: 2.45132039/4840 [===========>..................] - ETA: 2s - loss: 10.4200 - mean_absolute_error: 2.45072093/4840 [===========>..................] - ETA: 2s - loss: 10.4093 - mean_absolute_error: 2.44922150/4840 [============>.................] - ETA: 2s - loss: 10.4021 - mean_absolute_error: 2.44812206/4840 [============>.................] - ETA: 2s - loss: 10.3951 - mean_absolute_error: 2.44772262/4840 [=============>................] - ETA: 2s - loss: 10.3864 - mean_absolute_error: 2.44622318/4840 [=============>................] - ETA: 2s - loss: 10.4027 - 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ETA: 0s - loss: 10.4764 - mean_absolute_error: 2.45774224/4840 [=========================>....] - ETA: 0s - loss: 10.4796 - mean_absolute_error: 2.45824282/4840 [=========================>....] - ETA: 0s - loss: 10.4837 - mean_absolute_error: 2.45914336/4840 [=========================>....] - ETA: 0s - loss: 10.4870 - mean_absolute_error: 2.46004388/4840 [==========================>...] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46064444/4840 [==========================>...] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46104501/4840 [==========================>...] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.46144554/4840 [===========================>..] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.46104607/4840 [===========================>..] - ETA: 0s - loss: 10.4967 - mean_absolute_error: 2.46074664/4840 [===========================>..] - ETA: 0s - loss: 10.4925 - mean_absolute_error: 2.46004717/4840 [============================>.] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.46084775/4840 [============================>.] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46104832/4840 [============================>.] - ETA: 0s - loss: 10.5045 - mean_absolute_error: 2.46144840/4840 [==============================] - 4s 928us/step - loss: 10.5032 - mean_absolute_error: 2.4612 - val_loss: 11.4962 - val_mean_absolute_error: 2.5809
Epoch 71/100
   1/4840 [..............................] - ETA: 4s - loss: 10.3437 - mean_absolute_error: 2.4276  59/4840 [..............................] - ETA: 4s - loss: 10.1339 - mean_absolute_error: 2.4146 117/4840 [..............................] - ETA: 4s - loss: 10.3441 - mean_absolute_error: 2.4400 176/4840 [>.............................] - ETA: 4s - loss: 10.2658 - mean_absolute_error: 2.4333 236/4840 [>.............................] - ETA: 3s - loss: 10.2355 - mean_absolute_error: 2.4215 296/4840 [>.............................] - ETA: 3s - loss: 10.1621 - mean_absolute_error: 2.4179 356/4840 [=>............................] - ETA: 3s - loss: 10.2304 - mean_absolute_error: 2.4258 415/4840 [=>............................] - ETA: 3s - loss: 10.2261 - mean_absolute_error: 2.4259 475/4840 [=>............................] - ETA: 3s - loss: 10.2462 - mean_absolute_error: 2.4305 536/4840 [==>...........................] - ETA: 3s - loss: 10.2136 - mean_absolute_error: 2.4269 596/4840 [==>...........................] - 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mean_absolute_error: 2.43751240/4840 [======>.......................] - ETA: 3s - loss: 10.3492 - mean_absolute_error: 2.43961300/4840 [=======>......................] - ETA: 3s - loss: 10.3504 - mean_absolute_error: 2.44021360/4840 [=======>......................] - ETA: 2s - loss: 10.3686 - mean_absolute_error: 2.44221420/4840 [=======>......................] - ETA: 2s - loss: 10.3687 - mean_absolute_error: 2.44111477/4840 [========>.....................] - ETA: 2s - loss: 10.3515 - mean_absolute_error: 2.43921537/4840 [========>.....................] - ETA: 2s - loss: 10.3524 - mean_absolute_error: 2.43951597/4840 [========>.....................] - ETA: 2s - loss: 10.3816 - mean_absolute_error: 2.44161656/4840 [=========>....................] - ETA: 2s - loss: 10.3887 - mean_absolute_error: 2.44361715/4840 [=========>....................] - ETA: 2s - loss: 10.3872 - mean_absolute_error: 2.44301775/4840 [==========>...................] - ETA: 2s - loss: 10.3928 - mean_absolute_error: 2.44321835/4840 [==========>...................] - ETA: 2s - loss: 10.4063 - mean_absolute_error: 2.44561894/4840 [==========>...................] - ETA: 2s - loss: 10.3861 - mean_absolute_error: 2.44381953/4840 [===========>..................] - ETA: 2s - loss: 10.3845 - mean_absolute_error: 2.44342013/4840 [===========>..................] - ETA: 2s - loss: 10.3677 - mean_absolute_error: 2.44202072/4840 [===========>..................] - ETA: 2s - loss: 10.3655 - mean_absolute_error: 2.44122130/4840 [============>.................] - ETA: 2s - loss: 10.3630 - mean_absolute_error: 2.44092189/4840 [============>.................] - ETA: 2s - loss: 10.3670 - mean_absolute_error: 2.44132249/4840 [============>.................] - ETA: 2s - loss: 10.3738 - mean_absolute_error: 2.44182306/4840 [=============>................] - ETA: 2s - loss: 10.3769 - mean_absolute_error: 2.44272363/4840 [=============>................] - ETA: 2s - loss: 10.3872 - mean_absolute_error: 2.44422421/4840 [==============>...............] - ETA: 2s - loss: 10.3922 - mean_absolute_error: 2.44512480/4840 [==============>...............] - ETA: 2s - loss: 10.4037 - mean_absolute_error: 2.44712539/4840 [==============>...............] - ETA: 1s - loss: 10.4104 - mean_absolute_error: 2.44762596/4840 [===============>..............] - ETA: 1s - loss: 10.4211 - mean_absolute_error: 2.44902655/4840 [===============>..............] - ETA: 1s - loss: 10.4225 - mean_absolute_error: 2.44952713/4840 [===============>..............] - ETA: 1s - loss: 10.4182 - mean_absolute_error: 2.44912772/4840 [================>.............] - ETA: 1s - loss: 10.4148 - mean_absolute_error: 2.44892831/4840 [================>.............] - ETA: 1s - loss: 10.4239 - mean_absolute_error: 2.45042891/4840 [================>.............] - ETA: 1s - loss: 10.4219 - mean_absolute_error: 2.44972951/4840 [=================>............] - ETA: 1s - loss: 10.4259 - mean_absolute_error: 2.45023010/4840 [=================>............] - ETA: 1s - loss: 10.4440 - mean_absolute_error: 2.45243070/4840 [==================>...........] - 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mean_absolute_error: 2.45553719/4840 [======================>.......] - ETA: 0s - loss: 10.4712 - mean_absolute_error: 2.45493779/4840 [======================>.......] - ETA: 0s - loss: 10.4761 - mean_absolute_error: 2.45563839/4840 [======================>.......] - ETA: 0s - loss: 10.4807 - mean_absolute_error: 2.45593898/4840 [=======================>......] - ETA: 0s - loss: 10.4791 - mean_absolute_error: 2.45613958/4840 [=======================>......] - ETA: 0s - loss: 10.4804 - mean_absolute_error: 2.45614018/4840 [=======================>......] - ETA: 0s - loss: 10.4962 - mean_absolute_error: 2.45814078/4840 [========================>.....] - ETA: 0s - loss: 10.4901 - mean_absolute_error: 2.45714138/4840 [========================>.....] - ETA: 0s - loss: 10.4856 - mean_absolute_error: 2.45664196/4840 [=========================>....] - ETA: 0s - loss: 10.4782 - mean_absolute_error: 2.45614256/4840 [=========================>....] - ETA: 0s - loss: 10.4852 - mean_absolute_error: 2.45744315/4840 [=========================>....] - ETA: 0s - loss: 10.4879 - mean_absolute_error: 2.45794375/4840 [==========================>...] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.45904434/4840 [==========================>...] - ETA: 0s - loss: 10.4911 - mean_absolute_error: 2.45824493/4840 [==========================>...] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.45894550/4840 [===========================>..] - ETA: 0s - loss: 10.4934 - mean_absolute_error: 2.45864610/4840 [===========================>..] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.45924667/4840 [===========================>..] - ETA: 0s - loss: 10.5010 - mean_absolute_error: 2.45984727/4840 [============================>.] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46034784/4840 [============================>.] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46024840/4840 [==============================] - 4s 894us/step - loss: 10.5029 - mean_absolute_error: 2.4605 - val_loss: 11.4970 - val_mean_absolute_error: 2.5822
Epoch 72/100
   1/4840 [..............................] - ETA: 4s - loss: 11.2075 - mean_absolute_error: 2.6137  58/4840 [..............................] - ETA: 4s - loss: 10.6512 - mean_absolute_error: 2.4680 117/4840 [..............................] - ETA: 4s - loss: 10.7106 - mean_absolute_error: 2.4734 175/4840 [>.............................] - ETA: 4s - loss: 10.6543 - mean_absolute_error: 2.4688 233/4840 [>.............................] - ETA: 3s - loss: 10.5711 - mean_absolute_error: 2.4627 291/4840 [>.............................] - ETA: 3s - loss: 10.5685 - mean_absolute_error: 2.4636 351/4840 [=>............................] - ETA: 3s - loss: 10.5036 - mean_absolute_error: 2.4550 410/4840 [=>............................] - ETA: 3s - loss: 10.4614 - mean_absolute_error: 2.4482 468/4840 [=>............................] - ETA: 3s - loss: 10.5101 - mean_absolute_error: 2.4547 528/4840 [==>...........................] - ETA: 3s - loss: 10.5259 - mean_absolute_error: 2.4566 585/4840 [==>...........................] - ETA: 3s - loss: 10.5353 - mean_absolute_error: 2.4582 643/4840 [==>...........................] - ETA: 3s - loss: 10.5341 - mean_absolute_error: 2.4587 703/4840 [===>..........................] - ETA: 3s - loss: 10.5311 - mean_absolute_error: 2.4609 762/4840 [===>..........................] - ETA: 3s - loss: 10.5356 - mean_absolute_error: 2.4600 820/4840 [====>.........................] - ETA: 3s - loss: 10.5191 - mean_absolute_error: 2.4595 876/4840 [====>.........................] - ETA: 3s - loss: 10.5458 - mean_absolute_error: 2.4634 935/4840 [====>.........................] - ETA: 3s - loss: 10.5348 - mean_absolute_error: 2.4619 994/4840 [=====>........................] - ETA: 3s - loss: 10.5593 - mean_absolute_error: 2.46441053/4840 [=====>........................] - ETA: 3s - loss: 10.5613 - mean_absolute_error: 2.46571112/4840 [=====>........................] - ETA: 3s - loss: 10.5427 - mean_absolute_error: 2.46301173/4840 [======>.......................] - ETA: 3s - loss: 10.5457 - 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mean_absolute_error: 2.46002467/4840 [==============>...............] - ETA: 2s - loss: 10.4682 - mean_absolute_error: 2.45882527/4840 [==============>...............] - ETA: 1s - loss: 10.4705 - mean_absolute_error: 2.45932585/4840 [===============>..............] - ETA: 1s - loss: 10.4817 - mean_absolute_error: 2.46112644/4840 [===============>..............] - ETA: 1s - loss: 10.4776 - mean_absolute_error: 2.46062704/4840 [===============>..............] - ETA: 1s - loss: 10.4679 - mean_absolute_error: 2.45982762/4840 [================>.............] - ETA: 1s - loss: 10.4613 - mean_absolute_error: 2.45922821/4840 [================>.............] - ETA: 1s - loss: 10.4511 - mean_absolute_error: 2.45772877/4840 [================>.............] - ETA: 1s - loss: 10.4404 - mean_absolute_error: 2.45622935/4840 [=================>............] - ETA: 1s - loss: 10.4344 - mean_absolute_error: 2.45542994/4840 [=================>............] - ETA: 1s - loss: 10.4352 - mean_absolute_error: 2.45543051/4840 [=================>............] - 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mean_absolute_error: 2.45593685/4840 [=====================>........] - ETA: 0s - loss: 10.4545 - mean_absolute_error: 2.45733742/4840 [======================>.......] - ETA: 0s - loss: 10.4613 - mean_absolute_error: 2.45793801/4840 [======================>.......] - ETA: 0s - loss: 10.4590 - mean_absolute_error: 2.45803859/4840 [======================>.......] - ETA: 0s - loss: 10.4658 - mean_absolute_error: 2.45863919/4840 [=======================>......] - ETA: 0s - loss: 10.4664 - mean_absolute_error: 2.45883977/4840 [=======================>......] - ETA: 0s - loss: 10.4665 - mean_absolute_error: 2.45804035/4840 [========================>.....] - ETA: 0s - loss: 10.4617 - mean_absolute_error: 2.45794094/4840 [========================>.....] - ETA: 0s - loss: 10.4643 - mean_absolute_error: 2.45814153/4840 [========================>.....] - ETA: 0s - loss: 10.4634 - mean_absolute_error: 2.45774212/4840 [=========================>....] - ETA: 0s - loss: 10.4679 - mean_absolute_error: 2.45804268/4840 [=========================>....] - 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mean_absolute_error: 2.4622 - val_loss: 11.4975 - val_mean_absolute_error: 2.5819
Epoch 73/100
   1/4840 [..............................] - ETA: 9s - loss: 8.1826 - mean_absolute_error: 2.1177  59/4840 [..............................] - ETA: 4s - loss: 10.7722 - mean_absolute_error: 2.4870 119/4840 [..............................] - ETA: 4s - loss: 10.9449 - mean_absolute_error: 2.5115 178/4840 [>.............................] - ETA: 3s - loss: 10.7967 - mean_absolute_error: 2.4835 237/4840 [>.............................] - ETA: 3s - loss: 10.8298 - mean_absolute_error: 2.4907 295/4840 [>.............................] - ETA: 3s - loss: 10.8545 - mean_absolute_error: 2.5006 351/4840 [=>............................] - ETA: 3s - loss: 10.8114 - mean_absolute_error: 2.4974 410/4840 [=>............................] - ETA: 3s - loss: 10.8220 - mean_absolute_error: 2.4970 469/4840 [=>............................] - ETA: 3s - loss: 10.7967 - mean_absolute_error: 2.4932 528/4840 [==>...........................] - ETA: 3s - loss: 10.7769 - mean_absolute_error: 2.4927 585/4840 [==>...........................] - 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mean_absolute_error: 2.46991231/4840 [======>.......................] - ETA: 3s - loss: 10.5790 - mean_absolute_error: 2.46851291/4840 [=======>......................] - ETA: 3s - loss: 10.5613 - mean_absolute_error: 2.46511350/4840 [=======>......................] - ETA: 2s - loss: 10.5539 - mean_absolute_error: 2.46441409/4840 [=======>......................] - ETA: 2s - loss: 10.5320 - mean_absolute_error: 2.46131468/4840 [========>.....................] - ETA: 2s - loss: 10.5173 - mean_absolute_error: 2.46031524/4840 [========>.....................] - ETA: 2s - loss: 10.5209 - mean_absolute_error: 2.46141582/4840 [========>.....................] - ETA: 2s - loss: 10.5016 - mean_absolute_error: 2.45861640/4840 [=========>....................] - ETA: 2s - loss: 10.5054 - mean_absolute_error: 2.45881698/4840 [=========>....................] - ETA: 2s - loss: 10.4880 - mean_absolute_error: 2.45741755/4840 [=========>....................] - ETA: 2s - loss: 10.4670 - mean_absolute_error: 2.45381813/4840 [==========>...................] - 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ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46294341/4840 [=========================>....] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46334400/4840 [==========================>...] - ETA: 0s - loss: 10.4977 - mean_absolute_error: 2.46284460/4840 [==========================>...] - ETA: 0s - loss: 10.4942 - mean_absolute_error: 2.46224518/4840 [===========================>..] - ETA: 0s - loss: 10.4920 - mean_absolute_error: 2.46224575/4840 [===========================>..] - ETA: 0s - loss: 10.4954 - mean_absolute_error: 2.46214632/4840 [===========================>..] - ETA: 0s - loss: 10.4899 - mean_absolute_error: 2.46134692/4840 [============================>.] - ETA: 0s - loss: 10.4891 - mean_absolute_error: 2.46124751/4840 [============================>.] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.46224809/4840 [============================>.] - ETA: 0s - loss: 10.4970 - mean_absolute_error: 2.46214840/4840 [==============================] - 4s 902us/step - loss: 10.5022 - mean_absolute_error: 2.4628 - val_loss: 11.4962 - val_mean_absolute_error: 2.5809
Epoch 74/100
   1/4840 [..............................] - ETA: 7s - loss: 8.7647 - mean_absolute_error: 2.2777  59/4840 [..............................] - ETA: 4s - loss: 10.0719 - mean_absolute_error: 2.4071 118/4840 [..............................] - ETA: 4s - loss: 10.3058 - mean_absolute_error: 2.4349 178/4840 [>.............................] - ETA: 4s - loss: 10.5219 - mean_absolute_error: 2.4660 237/4840 [>.............................] - ETA: 3s - loss: 10.5015 - mean_absolute_error: 2.4616 293/4840 [>.............................] - ETA: 3s - loss: 10.4332 - mean_absolute_error: 2.4527 352/4840 [=>............................] - ETA: 3s - loss: 10.5283 - mean_absolute_error: 2.4623 412/4840 [=>............................] - ETA: 3s - loss: 10.4243 - mean_absolute_error: 2.4502 471/4840 [=>............................] - ETA: 3s - loss: 10.4490 - mean_absolute_error: 2.4535 528/4840 [==>...........................] - ETA: 3s - loss: 10.4520 - mean_absolute_error: 2.4551 587/4840 [==>...........................] - ETA: 3s - loss: 10.4772 - mean_absolute_error: 2.4569 645/4840 [==>...........................] - ETA: 3s - loss: 10.4280 - mean_absolute_error: 2.4530 705/4840 [===>..........................] - ETA: 3s - loss: 10.4291 - mean_absolute_error: 2.4515 762/4840 [===>..........................] - ETA: 3s - loss: 10.3900 - mean_absolute_error: 2.4465 822/4840 [====>.........................] - ETA: 3s - loss: 10.3579 - mean_absolute_error: 2.4418 881/4840 [====>.........................] - ETA: 3s - loss: 10.4306 - mean_absolute_error: 2.4510 940/4840 [====>.........................] - ETA: 3s - loss: 10.4406 - mean_absolute_error: 2.45371000/4840 [=====>........................] - ETA: 3s - loss: 10.4553 - mean_absolute_error: 2.45601056/4840 [=====>........................] - ETA: 3s - loss: 10.4223 - mean_absolute_error: 2.45091115/4840 [=====>........................] - ETA: 3s - loss: 10.4252 - mean_absolute_error: 2.45041174/4840 [======>.......................] - ETA: 3s - loss: 10.4132 - mean_absolute_error: 2.44661234/4840 [======>.......................] - ETA: 3s - loss: 10.4200 - mean_absolute_error: 2.44731294/4840 [=======>......................] - ETA: 3s - loss: 10.4163 - mean_absolute_error: 2.44721354/4840 [=======>......................] - ETA: 2s - loss: 10.3982 - mean_absolute_error: 2.44531413/4840 [=======>......................] - ETA: 2s - loss: 10.3874 - mean_absolute_error: 2.44501470/4840 [========>.....................] - ETA: 2s - loss: 10.3811 - mean_absolute_error: 2.44411527/4840 [========>.....................] - ETA: 2s - loss: 10.3876 - mean_absolute_error: 2.44461586/4840 [========>.....................] - ETA: 2s - loss: 10.3827 - mean_absolute_error: 2.44431645/4840 [=========>....................] - ETA: 2s - loss: 10.3762 - mean_absolute_error: 2.44331703/4840 [=========>....................] - ETA: 2s - loss: 10.4028 - mean_absolute_error: 2.44701762/4840 [=========>....................] - ETA: 2s - loss: 10.4013 - mean_absolute_error: 2.44661821/4840 [==========>...................] - ETA: 2s - loss: 10.4262 - mean_absolute_error: 2.44951879/4840 [==========>...................] - ETA: 2s - loss: 10.4423 - mean_absolute_error: 2.45151939/4840 [===========>..................] - ETA: 2s - loss: 10.4476 - mean_absolute_error: 2.45151998/4840 [===========>..................] - ETA: 2s - loss: 10.4514 - mean_absolute_error: 2.45192056/4840 [===========>..................] - ETA: 2s - loss: 10.4473 - mean_absolute_error: 2.45122116/4840 [============>.................] - ETA: 2s - loss: 10.4446 - mean_absolute_error: 2.45102174/4840 [============>.................] - ETA: 2s - loss: 10.4463 - mean_absolute_error: 2.45072232/4840 [============>.................] - ETA: 2s - loss: 10.4600 - mean_absolute_error: 2.45272292/4840 [=============>................] - ETA: 2s - loss: 10.4775 - mean_absolute_error: 2.45502351/4840 [=============>................] - ETA: 2s - loss: 10.4761 - mean_absolute_error: 2.45522410/4840 [=============>................] - ETA: 2s - loss: 10.4690 - mean_absolute_error: 2.45492469/4840 [==============>...............] - ETA: 2s - loss: 10.4682 - mean_absolute_error: 2.45482530/4840 [==============>...............] - ETA: 1s - loss: 10.4786 - mean_absolute_error: 2.45612590/4840 [===============>..............] - ETA: 1s - loss: 10.4859 - mean_absolute_error: 2.45792646/4840 [===============>..............] - ETA: 1s - loss: 10.4869 - mean_absolute_error: 2.45802705/4840 [===============>..............] - ETA: 1s - loss: 10.4978 - mean_absolute_error: 2.45942764/4840 [================>.............] - ETA: 1s - loss: 10.4870 - mean_absolute_error: 2.45822824/4840 [================>.............] - ETA: 1s - loss: 10.4836 - mean_absolute_error: 2.45762885/4840 [================>.............] - ETA: 1s - loss: 10.4790 - mean_absolute_error: 2.45742945/4840 [=================>............] - ETA: 1s - loss: 10.4760 - mean_absolute_error: 2.45773006/4840 [=================>............] - ETA: 1s - loss: 10.4702 - mean_absolute_error: 2.45753063/4840 [=================>............] - ETA: 1s - loss: 10.4730 - mean_absolute_error: 2.45813120/4840 [==================>...........] - ETA: 1s - loss: 10.4752 - mean_absolute_error: 2.45833179/4840 [==================>...........] - ETA: 1s - loss: 10.4630 - mean_absolute_error: 2.45673238/4840 [===================>..........] - ETA: 1s - loss: 10.4579 - mean_absolute_error: 2.45643297/4840 [===================>..........] - ETA: 1s - loss: 10.4600 - mean_absolute_error: 2.45703356/4840 [===================>..........] - ETA: 1s - loss: 10.4640 - mean_absolute_error: 2.45723413/4840 [====================>.........] - ETA: 1s - loss: 10.4607 - mean_absolute_error: 2.45683472/4840 [====================>.........] - ETA: 1s - loss: 10.4579 - mean_absolute_error: 2.45653531/4840 [====================>.........] - ETA: 1s - loss: 10.4544 - mean_absolute_error: 2.45623589/4840 [=====================>........] - ETA: 1s - loss: 10.4580 - mean_absolute_error: 2.45673648/4840 [=====================>........] - ETA: 1s - loss: 10.4746 - mean_absolute_error: 2.45903708/4840 [=====================>........] - ETA: 0s - loss: 10.4803 - mean_absolute_error: 2.45973767/4840 [======================>.......] - ETA: 0s - loss: 10.4884 - mean_absolute_error: 2.46033824/4840 [======================>.......] - ETA: 0s - loss: 10.4907 - mean_absolute_error: 2.46093881/4840 [=======================>......] - ETA: 0s - loss: 10.4892 - mean_absolute_error: 2.46073941/4840 [=======================>......] - ETA: 0s - loss: 10.4898 - mean_absolute_error: 2.46114000/4840 [=======================>......] - ETA: 0s - loss: 10.4865 - mean_absolute_error: 2.46054058/4840 [========================>.....] - ETA: 0s - loss: 10.4937 - mean_absolute_error: 2.46144117/4840 [========================>.....] - ETA: 0s - loss: 10.4910 - mean_absolute_error: 2.46104177/4840 [========================>.....] - ETA: 0s - loss: 10.4891 - mean_absolute_error: 2.46044236/4840 [=========================>....] - ETA: 0s - loss: 10.4850 - mean_absolute_error: 2.46014295/4840 [=========================>....] - ETA: 0s - loss: 10.4811 - mean_absolute_error: 2.45934354/4840 [=========================>....] - ETA: 0s - loss: 10.4844 - mean_absolute_error: 2.45994413/4840 [==========================>...] - ETA: 0s - loss: 10.4846 - mean_absolute_error: 2.46004472/4840 [==========================>...] - ETA: 0s - loss: 10.4895 - mean_absolute_error: 2.46054531/4840 [===========================>..] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46144590/4840 [===========================>..] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46064648/4840 [===========================>..] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46114707/4840 [============================>.] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46154765/4840 [============================>.] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46134824/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46194840/4840 [==============================] - 4s 901us/step - loss: 10.5033 - mean_absolute_error: 2.4617 - val_loss: 11.4970 - val_mean_absolute_error: 2.5808
Epoch 75/100
   1/4840 [..............................] - ETA: 4s - loss: 7.7591 - mean_absolute_error: 2.1249  60/4840 [..............................] - ETA: 4s - loss: 10.1709 - mean_absolute_error: 2.4253 119/4840 [..............................] - ETA: 4s - loss: 10.5080 - mean_absolute_error: 2.4653 179/4840 [>.............................] - ETA: 3s - loss: 10.5050 - mean_absolute_error: 2.4689 240/4840 [>.............................] - ETA: 3s - loss: 10.6740 - mean_absolute_error: 2.4887 299/4840 [>.............................] - ETA: 3s - loss: 10.7252 - mean_absolute_error: 2.4979 358/4840 [=>............................] - ETA: 3s - loss: 10.5952 - mean_absolute_error: 2.4825 417/4840 [=>............................] - ETA: 3s - loss: 10.6250 - mean_absolute_error: 2.4860 478/4840 [=>............................] - ETA: 3s - loss: 10.5980 - mean_absolute_error: 2.4831 538/4840 [==>...........................] - ETA: 3s - loss: 10.5729 - mean_absolute_error: 2.4804 597/4840 [==>...........................] - 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mean_absolute_error: 2.46541249/4840 [======>.......................] - ETA: 3s - loss: 10.4764 - mean_absolute_error: 2.46331309/4840 [=======>......................] - ETA: 2s - loss: 10.4577 - mean_absolute_error: 2.46021365/4840 [=======>......................] - ETA: 2s - loss: 10.4578 - mean_absolute_error: 2.45901426/4840 [=======>......................] - ETA: 2s - loss: 10.4818 - mean_absolute_error: 2.46141486/4840 [========>.....................] - ETA: 2s - loss: 10.4697 - mean_absolute_error: 2.45901541/4840 [========>.....................] - ETA: 2s - loss: 10.4525 - mean_absolute_error: 2.45711599/4840 [========>.....................] - ETA: 2s - loss: 10.4492 - mean_absolute_error: 2.45661659/4840 [=========>....................] - ETA: 2s - loss: 10.4441 - mean_absolute_error: 2.45621717/4840 [=========>....................] - ETA: 2s - loss: 10.4455 - mean_absolute_error: 2.45651776/4840 [==========>...................] - ETA: 2s - loss: 10.4636 - mean_absolute_error: 2.45861834/4840 [==========>...................] - 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mean_absolute_error: 2.45563696/4840 [=====================>........] - ETA: 0s - loss: 10.4767 - mean_absolute_error: 2.45643755/4840 [======================>.......] - ETA: 0s - loss: 10.4870 - mean_absolute_error: 2.45733814/4840 [======================>.......] - ETA: 0s - loss: 10.4885 - mean_absolute_error: 2.45753873/4840 [=======================>......] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.45863913/4840 [=======================>......] - ETA: 0s - loss: 10.4893 - mean_absolute_error: 2.45793960/4840 [=======================>......] - ETA: 0s - loss: 10.4888 - mean_absolute_error: 2.45784019/4840 [=======================>......] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.45874078/4840 [========================>.....] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.45944137/4840 [========================>.....] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.45834195/4840 [=========================>....] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.45924254/4840 [=========================>....] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.45954312/4840 [=========================>....] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.45984371/4840 [==========================>...] - ETA: 0s - loss: 10.4941 - mean_absolute_error: 2.45904430/4840 [==========================>...] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.45974490/4840 [==========================>...] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46024548/4840 [===========================>..] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46064608/4840 [===========================>..] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46054666/4840 [===========================>..] - ETA: 0s - loss: 10.5047 - mean_absolute_error: 2.46074724/4840 [============================>.] - ETA: 0s - loss: 10.4938 - mean_absolute_error: 2.45934782/4840 [============================>.] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46024840/4840 [==============================] - 4s 906us/step - loss: 10.5026 - mean_absolute_error: 2.4606 - val_loss: 11.4968 - val_mean_absolute_error: 2.5814
Epoch 76/100
   1/4840 [..............................] - ETA: 4s - loss: 11.6045 - mean_absolute_error: 2.4478  58/4840 [..............................] - ETA: 4s - loss: 10.4179 - mean_absolute_error: 2.4429 118/4840 [..............................] - ETA: 4s - loss: 10.2737 - mean_absolute_error: 2.4207 174/4840 [>.............................] - ETA: 4s - loss: 10.4093 - mean_absolute_error: 2.4483 233/4840 [>.............................] - ETA: 3s - loss: 10.2269 - mean_absolute_error: 2.4341 292/4840 [>.............................] - ETA: 3s - loss: 10.3979 - mean_absolute_error: 2.4536 351/4840 [=>............................] - ETA: 3s - loss: 10.4264 - mean_absolute_error: 2.4534 409/4840 [=>............................] - ETA: 3s - loss: 10.4188 - mean_absolute_error: 2.4534 468/4840 [=>............................] - ETA: 3s - loss: 10.4794 - mean_absolute_error: 2.4639 528/4840 [==>...........................] - ETA: 3s - loss: 10.4413 - mean_absolute_error: 2.4570 587/4840 [==>...........................] - 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mean_absolute_error: 2.45882449/4840 [==============>...............] - ETA: 2s - loss: 10.4792 - mean_absolute_error: 2.45952504/4840 [==============>...............] - ETA: 2s - loss: 10.4727 - mean_absolute_error: 2.45822562/4840 [==============>...............] - ETA: 1s - loss: 10.4676 - mean_absolute_error: 2.45752620/4840 [===============>..............] - ETA: 1s - loss: 10.4740 - mean_absolute_error: 2.45762679/4840 [===============>..............] - ETA: 1s - loss: 10.4859 - mean_absolute_error: 2.45972738/4840 [===============>..............] - ETA: 1s - loss: 10.4749 - mean_absolute_error: 2.45862798/4840 [================>.............] - ETA: 1s - loss: 10.4759 - mean_absolute_error: 2.45862857/4840 [================>.............] - ETA: 1s - loss: 10.4766 - mean_absolute_error: 2.45892918/4840 [=================>............] - ETA: 1s - loss: 10.4687 - mean_absolute_error: 2.45772976/4840 [=================>............] - ETA: 1s - loss: 10.4685 - mean_absolute_error: 2.45763036/4840 [=================>............] - 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mean_absolute_error: 2.45823678/4840 [=====================>........] - ETA: 1s - loss: 10.4669 - mean_absolute_error: 2.45733738/4840 [======================>.......] - ETA: 0s - loss: 10.4612 - mean_absolute_error: 2.45653797/4840 [======================>.......] - ETA: 0s - loss: 10.4567 - mean_absolute_error: 2.45613855/4840 [======================>.......] - ETA: 0s - loss: 10.4634 - mean_absolute_error: 2.45713912/4840 [=======================>......] - ETA: 0s - loss: 10.4579 - mean_absolute_error: 2.45613969/4840 [=======================>......] - ETA: 0s - loss: 10.4574 - mean_absolute_error: 2.45624029/4840 [=======================>......] - ETA: 0s - loss: 10.4661 - mean_absolute_error: 2.45724089/4840 [========================>.....] - ETA: 0s - loss: 10.4738 - mean_absolute_error: 2.45804147/4840 [========================>.....] - ETA: 0s - loss: 10.4884 - mean_absolute_error: 2.45994206/4840 [=========================>....] - ETA: 0s - loss: 10.4843 - mean_absolute_error: 2.45974265/4840 [=========================>....] - ETA: 0s - loss: 10.4868 - mean_absolute_error: 2.46004322/4840 [=========================>....] - ETA: 0s - loss: 10.4899 - mean_absolute_error: 2.46064381/4840 [==========================>...] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.46134437/4840 [==========================>...] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.46144496/4840 [==========================>...] - ETA: 0s - loss: 10.4970 - mean_absolute_error: 2.46094556/4840 [===========================>..] - ETA: 0s - loss: 10.5004 - mean_absolute_error: 2.46134615/4840 [===========================>..] - ETA: 0s - loss: 10.5027 - mean_absolute_error: 2.46194675/4840 [===========================>..] - ETA: 0s - loss: 10.5012 - mean_absolute_error: 2.46154735/4840 [============================>.] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46064791/4840 [============================>.] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46144840/4840 [==============================] - 4s 914us/step - loss: 10.5031 - mean_absolute_error: 2.4617 - val_loss: 11.5007 - val_mean_absolute_error: 2.5814
Epoch 77/100
   1/4840 [..............................] - ETA: 9s - loss: 14.6910 - mean_absolute_error: 3.0204  61/4840 [..............................] - ETA: 3s - loss: 11.0054 - mean_absolute_error: 2.5145 120/4840 [..............................] - ETA: 4s - loss: 10.5897 - mean_absolute_error: 2.4658 179/4840 [>.............................] - ETA: 3s - loss: 10.4529 - mean_absolute_error: 2.4530 237/4840 [>.............................] - ETA: 3s - loss: 10.4848 - mean_absolute_error: 2.4588 296/4840 [>.............................] - ETA: 3s - loss: 10.3571 - mean_absolute_error: 2.4398 355/4840 [=>............................] - ETA: 3s - loss: 10.3357 - mean_absolute_error: 2.4377 415/4840 [=>............................] - ETA: 3s - loss: 10.2451 - mean_absolute_error: 2.4262 472/4840 [=>............................] - ETA: 3s - loss: 10.2993 - mean_absolute_error: 2.4317 531/4840 [==>...........................] - ETA: 3s - loss: 10.3244 - mean_absolute_error: 2.4363 592/4840 [==>...........................] - ETA: 3s - loss: 10.3645 - mean_absolute_error: 2.4432 652/4840 [===>..........................] - ETA: 3s - loss: 10.3507 - mean_absolute_error: 2.4416 712/4840 [===>..........................] - ETA: 3s - loss: 10.3742 - mean_absolute_error: 2.4453 772/4840 [===>..........................] - ETA: 3s - loss: 10.3757 - mean_absolute_error: 2.4442 829/4840 [====>.........................] - ETA: 3s - loss: 10.4394 - mean_absolute_error: 2.4536 887/4840 [====>.........................] - ETA: 3s - loss: 10.4409 - mean_absolute_error: 2.4528 947/4840 [====>.........................] - ETA: 3s - loss: 10.4478 - mean_absolute_error: 2.45491006/4840 [=====>........................] - ETA: 3s - loss: 10.4803 - mean_absolute_error: 2.45961065/4840 [=====>........................] - ETA: 3s - loss: 10.4435 - mean_absolute_error: 2.45411124/4840 [=====>........................] - ETA: 3s - loss: 10.4456 - mean_absolute_error: 2.45401184/4840 [======>.......................] - ETA: 3s - loss: 10.4608 - mean_absolute_error: 2.45511242/4840 [======>.......................] - ETA: 3s - loss: 10.4584 - mean_absolute_error: 2.45431298/4840 [=======>......................] - ETA: 3s - loss: 10.4527 - mean_absolute_error: 2.45341348/4840 [=======>......................] - ETA: 3s - loss: 10.4432 - mean_absolute_error: 2.45191393/4840 [=======>......................] - ETA: 2s - loss: 10.4249 - mean_absolute_error: 2.44871442/4840 [=======>......................] - ETA: 2s - loss: 10.4288 - mean_absolute_error: 2.44941492/4840 [========>.....................] - ETA: 2s - loss: 10.4126 - mean_absolute_error: 2.44671545/4840 [========>.....................] - ETA: 2s - loss: 10.3769 - mean_absolute_error: 2.44201601/4840 [========>.....................] - ETA: 2s - loss: 10.3682 - mean_absolute_error: 2.44161659/4840 [=========>....................] - ETA: 2s - loss: 10.3592 - mean_absolute_error: 2.44171718/4840 [=========>....................] - ETA: 2s - loss: 10.3795 - mean_absolute_error: 2.44421776/4840 [==========>...................] - ETA: 2s - loss: 10.3724 - mean_absolute_error: 2.44351835/4840 [==========>...................] - ETA: 2s - loss: 10.3682 - mean_absolute_error: 2.44401894/4840 [==========>...................] - ETA: 2s - loss: 10.3795 - mean_absolute_error: 2.44561951/4840 [===========>..................] - ETA: 2s - loss: 10.3656 - mean_absolute_error: 2.44422008/4840 [===========>..................] - ETA: 2s - loss: 10.3714 - mean_absolute_error: 2.44452068/4840 [===========>..................] - ETA: 2s - loss: 10.3813 - mean_absolute_error: 2.44672127/4840 [============>.................] - ETA: 2s - loss: 10.3965 - mean_absolute_error: 2.44802184/4840 [============>.................] - ETA: 2s - loss: 10.4034 - mean_absolute_error: 2.44822241/4840 [============>.................] - ETA: 2s - loss: 10.4115 - mean_absolute_error: 2.44892300/4840 [=============>................] - ETA: 2s - loss: 10.4016 - mean_absolute_error: 2.44702358/4840 [=============>................] - ETA: 2s - loss: 10.4148 - mean_absolute_error: 2.44842416/4840 [=============>................] - ETA: 2s - loss: 10.4238 - mean_absolute_error: 2.45022475/4840 [==============>...............] - ETA: 2s - loss: 10.4259 - mean_absolute_error: 2.45002533/4840 [==============>...............] - ETA: 2s - loss: 10.4518 - mean_absolute_error: 2.45332591/4840 [===============>..............] - ETA: 1s - loss: 10.4494 - mean_absolute_error: 2.45282648/4840 [===============>..............] - ETA: 1s - loss: 10.4502 - mean_absolute_error: 2.45302707/4840 [===============>..............] - ETA: 1s - loss: 10.4444 - mean_absolute_error: 2.45282766/4840 [================>.............] - ETA: 1s - loss: 10.4456 - mean_absolute_error: 2.45302822/4840 [================>.............] - ETA: 1s - loss: 10.4409 - mean_absolute_error: 2.45272878/4840 [================>.............] - ETA: 1s - loss: 10.4382 - mean_absolute_error: 2.45272934/4840 [=================>............] - ETA: 1s - loss: 10.4387 - mean_absolute_error: 2.45302992/4840 [=================>............] - 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mean_absolute_error: 2.45863638/4840 [=====================>........] - ETA: 1s - loss: 10.4944 - mean_absolute_error: 2.45973697/4840 [=====================>........] - ETA: 0s - loss: 10.4869 - mean_absolute_error: 2.45843756/4840 [======================>.......] - ETA: 0s - loss: 10.4948 - mean_absolute_error: 2.45973813/4840 [======================>.......] - ETA: 0s - loss: 10.4983 - mean_absolute_error: 2.46013874/4840 [=======================>......] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46083931/4840 [=======================>......] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46103988/4840 [=======================>......] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46084045/4840 [========================>.....] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46084103/4840 [========================>.....] - ETA: 0s - loss: 10.5046 - mean_absolute_error: 2.46144161/4840 [========================>.....] - ETA: 0s - loss: 10.4949 - mean_absolute_error: 2.45984220/4840 [=========================>....] - 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mean_absolute_error: 2.46184840/4840 [==============================] - 4s 913us/step - loss: 10.5028 - mean_absolute_error: 2.4615 - val_loss: 11.5030 - val_mean_absolute_error: 2.5821
Epoch 78/100
   1/4840 [..............................] - ETA: 9s - loss: 7.2050 - mean_absolute_error: 1.9187  61/4840 [..............................] - ETA: 4s - loss: 10.1857 - mean_absolute_error: 2.4233 117/4840 [..............................] - ETA: 4s - loss: 10.3153 - mean_absolute_error: 2.4470 176/4840 [>.............................] - ETA: 4s - loss: 10.3144 - mean_absolute_error: 2.4405 233/4840 [>.............................] - ETA: 3s - loss: 10.3643 - mean_absolute_error: 2.4484 289/4840 [>.............................] - ETA: 3s - loss: 10.3404 - mean_absolute_error: 2.4448 347/4840 [=>............................] - ETA: 3s - loss: 10.3000 - mean_absolute_error: 2.4374 406/4840 [=>............................] - ETA: 3s - loss: 10.3616 - mean_absolute_error: 2.4490 464/4840 [=>............................] - ETA: 3s - loss: 10.3820 - mean_absolute_error: 2.4508 524/4840 [==>...........................] - ETA: 3s - loss: 10.3347 - mean_absolute_error: 2.4430 582/4840 [==>...........................] - ETA: 3s - loss: 10.3422 - mean_absolute_error: 2.4430 640/4840 [==>...........................] - ETA: 3s - loss: 10.3687 - mean_absolute_error: 2.4456 698/4840 [===>..........................] - ETA: 3s - loss: 10.3878 - mean_absolute_error: 2.4475 756/4840 [===>..........................] - ETA: 3s - loss: 10.4054 - mean_absolute_error: 2.4485 815/4840 [====>.........................] - ETA: 3s - loss: 10.4205 - mean_absolute_error: 2.4485 874/4840 [====>.........................] - ETA: 3s - loss: 10.4158 - mean_absolute_error: 2.4477 934/4840 [====>.........................] - ETA: 3s - loss: 10.3901 - mean_absolute_error: 2.4428 993/4840 [=====>........................] - ETA: 3s - loss: 10.3763 - mean_absolute_error: 2.44301053/4840 [=====>........................] - ETA: 3s - loss: 10.3799 - mean_absolute_error: 2.44311112/4840 [=====>........................] - ETA: 3s - loss: 10.4149 - mean_absolute_error: 2.44831171/4840 [======>.......................] - ETA: 3s - loss: 10.4114 - 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mean_absolute_error: 2.45742449/4840 [==============>...............] - ETA: 2s - loss: 10.4572 - mean_absolute_error: 2.45662506/4840 [==============>...............] - ETA: 2s - loss: 10.4546 - mean_absolute_error: 2.45592564/4840 [==============>...............] - ETA: 1s - loss: 10.4554 - mean_absolute_error: 2.45662622/4840 [===============>..............] - ETA: 1s - loss: 10.4544 - mean_absolute_error: 2.45672680/4840 [===============>..............] - ETA: 1s - loss: 10.4551 - mean_absolute_error: 2.45622738/4840 [===============>..............] - ETA: 1s - loss: 10.4528 - mean_absolute_error: 2.45632796/4840 [================>.............] - ETA: 1s - loss: 10.4547 - mean_absolute_error: 2.45692853/4840 [================>.............] - ETA: 1s - loss: 10.4486 - mean_absolute_error: 2.45592912/4840 [=================>............] - ETA: 1s - loss: 10.4456 - mean_absolute_error: 2.45512970/4840 [=================>............] - ETA: 1s - loss: 10.4500 - mean_absolute_error: 2.45533029/4840 [=================>............] - 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ETA: 0s - loss: 10.4851 - mean_absolute_error: 2.45954320/4840 [=========================>....] - ETA: 0s - loss: 10.4873 - mean_absolute_error: 2.46024380/4840 [==========================>...] - ETA: 0s - loss: 10.4963 - mean_absolute_error: 2.46084440/4840 [==========================>...] - ETA: 0s - loss: 10.4992 - mean_absolute_error: 2.46154499/4840 [==========================>...] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46154557/4840 [===========================>..] - ETA: 0s - loss: 10.4966 - mean_absolute_error: 2.46124616/4840 [===========================>..] - ETA: 0s - loss: 10.4890 - mean_absolute_error: 2.46004675/4840 [===========================>..] - ETA: 0s - loss: 10.4964 - mean_absolute_error: 2.46124734/4840 [============================>.] - ETA: 0s - loss: 10.5019 - mean_absolute_error: 2.46164783/4840 [============================>.] - ETA: 0s - loss: 10.5075 - mean_absolute_error: 2.46244838/4840 [============================>.] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46174840/4840 [==============================] - 4s 907us/step - loss: 10.5032 - mean_absolute_error: 2.4618 - val_loss: 11.5011 - val_mean_absolute_error: 2.5823
Epoch 79/100
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mean_absolute_error: 2.44832449/4840 [==============>...............] - ETA: 2s - loss: 10.3969 - mean_absolute_error: 2.44752507/4840 [==============>...............] - ETA: 2s - loss: 10.4004 - mean_absolute_error: 2.44822564/4840 [==============>...............] - ETA: 1s - loss: 10.4056 - mean_absolute_error: 2.44842622/4840 [===============>..............] - ETA: 1s - loss: 10.4160 - mean_absolute_error: 2.44992680/4840 [===============>..............] - ETA: 1s - loss: 10.4343 - mean_absolute_error: 2.45172736/4840 [===============>..............] - ETA: 1s - loss: 10.4231 - mean_absolute_error: 2.45012794/4840 [================>.............] - ETA: 1s - loss: 10.4233 - mean_absolute_error: 2.45022852/4840 [================>.............] - ETA: 1s - loss: 10.4307 - mean_absolute_error: 2.45062911/4840 [=================>............] - ETA: 1s - loss: 10.4250 - mean_absolute_error: 2.45022969/4840 [=================>............] - ETA: 1s - loss: 10.4342 - mean_absolute_error: 2.45153027/4840 [=================>............] - 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mean_absolute_error: 2.46204840/4840 [==============================] - 4s 909us/step - loss: 10.5027 - mean_absolute_error: 2.4621 - val_loss: 11.4977 - val_mean_absolute_error: 2.5811
Epoch 80/100
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mean_absolute_error: 2.45232450/4840 [==============>...............] - ETA: 2s - loss: 10.4368 - mean_absolute_error: 2.45252510/4840 [==============>...............] - ETA: 2s - loss: 10.4431 - mean_absolute_error: 2.45342569/4840 [==============>...............] - ETA: 1s - loss: 10.4421 - mean_absolute_error: 2.45312629/4840 [===============>..............] - ETA: 1s - loss: 10.4423 - mean_absolute_error: 2.45312688/4840 [===============>..............] - ETA: 1s - loss: 10.4352 - mean_absolute_error: 2.45252749/4840 [================>.............] - ETA: 1s - loss: 10.4413 - mean_absolute_error: 2.45352805/4840 [================>.............] - ETA: 1s - loss: 10.4461 - mean_absolute_error: 2.45402863/4840 [================>.............] - ETA: 1s - loss: 10.4559 - mean_absolute_error: 2.45532919/4840 [=================>............] - ETA: 1s - loss: 10.4660 - mean_absolute_error: 2.45682975/4840 [=================>............] - ETA: 1s - loss: 10.4632 - mean_absolute_error: 2.45673029/4840 [=================>............] - 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ETA: 0s - loss: 10.4933 - mean_absolute_error: 2.46034315/4840 [=========================>....] - ETA: 0s - loss: 10.4928 - mean_absolute_error: 2.46024374/4840 [==========================>...] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.46104432/4840 [==========================>...] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46104490/4840 [==========================>...] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46154546/4840 [===========================>..] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46154602/4840 [===========================>..] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46154660/4840 [===========================>..] - ETA: 0s - loss: 10.5074 - mean_absolute_error: 2.46204720/4840 [============================>.] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46144779/4840 [============================>.] - ETA: 0s - loss: 10.5090 - mean_absolute_error: 2.46234838/4840 [============================>.] - ETA: 0s - loss: 10.5024 - mean_absolute_error: 2.46144840/4840 [==============================] - 4s 909us/step - loss: 10.5029 - mean_absolute_error: 2.4615 - val_loss: 11.4964 - val_mean_absolute_error: 2.5812
Epoch 81/100
   1/4840 [..............................] - ETA: 9s - loss: 15.3891 - mean_absolute_error: 3.1365  50/4840 [..............................] - ETA: 4s - loss: 10.7940 - mean_absolute_error: 2.5158  99/4840 [..............................] - ETA: 4s - loss: 10.2228 - mean_absolute_error: 2.4482 147/4840 [..............................] - ETA: 4s - loss: 10.5679 - mean_absolute_error: 2.4866 204/4840 [>.............................] - ETA: 4s - loss: 10.4312 - mean_absolute_error: 2.4708 258/4840 [>.............................] - ETA: 4s - loss: 10.5030 - mean_absolute_error: 2.4735 316/4840 [>.............................] - ETA: 4s - loss: 10.4348 - mean_absolute_error: 2.4611 375/4840 [=>............................] - ETA: 4s - loss: 10.3184 - mean_absolute_error: 2.4423 433/4840 [=>............................] - ETA: 4s - loss: 10.3095 - mean_absolute_error: 2.4415 491/4840 [==>...........................] - ETA: 4s - loss: 10.3175 - mean_absolute_error: 2.4425 548/4840 [==>...........................] - 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mean_absolute_error: 2.45082361/4840 [=============>................] - ETA: 2s - loss: 10.4199 - mean_absolute_error: 2.45222417/4840 [=============>................] - ETA: 2s - loss: 10.4244 - mean_absolute_error: 2.45252475/4840 [==============>...............] - ETA: 2s - loss: 10.4215 - mean_absolute_error: 2.45192533/4840 [==============>...............] - ETA: 2s - loss: 10.4243 - mean_absolute_error: 2.45222585/4840 [===============>..............] - ETA: 2s - loss: 10.4360 - mean_absolute_error: 2.45392639/4840 [===============>..............] - ETA: 1s - loss: 10.4371 - mean_absolute_error: 2.45392693/4840 [===============>..............] - ETA: 1s - loss: 10.4562 - mean_absolute_error: 2.45642751/4840 [================>.............] - ETA: 1s - loss: 10.4690 - mean_absolute_error: 2.45802807/4840 [================>.............] - ETA: 1s - loss: 10.4663 - mean_absolute_error: 2.45782864/4840 [================>.............] - ETA: 1s - loss: 10.4740 - mean_absolute_error: 2.45862922/4840 [=================>............] - 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mean_absolute_error: 2.45833548/4840 [====================>.........] - ETA: 1s - loss: 10.4734 - mean_absolute_error: 2.45733607/4840 [=====================>........] - ETA: 1s - loss: 10.4728 - mean_absolute_error: 2.45733663/4840 [=====================>........] - ETA: 1s - loss: 10.4729 - mean_absolute_error: 2.45743716/4840 [======================>.......] - ETA: 1s - loss: 10.4681 - mean_absolute_error: 2.45703771/4840 [======================>.......] - ETA: 0s - loss: 10.4693 - mean_absolute_error: 2.45733829/4840 [======================>.......] - ETA: 0s - loss: 10.4665 - mean_absolute_error: 2.45683889/4840 [=======================>......] - ETA: 0s - loss: 10.4736 - mean_absolute_error: 2.45783947/4840 [=======================>......] - ETA: 0s - loss: 10.4788 - mean_absolute_error: 2.45874005/4840 [=======================>......] - ETA: 0s - loss: 10.4870 - mean_absolute_error: 2.45984063/4840 [========================>.....] - ETA: 0s - loss: 10.4903 - mean_absolute_error: 2.45994119/4840 [========================>.....] - ETA: 0s - loss: 10.4863 - mean_absolute_error: 2.45944177/4840 [========================>.....] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.46004234/4840 [=========================>....] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46004292/4840 [=========================>....] - ETA: 0s - loss: 10.4936 - mean_absolute_error: 2.45994351/4840 [=========================>....] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46064410/4840 [==========================>...] - ETA: 0s - loss: 10.4985 - mean_absolute_error: 2.46014469/4840 [==========================>...] - ETA: 0s - loss: 10.5040 - mean_absolute_error: 2.46094527/4840 [===========================>..] - ETA: 0s - loss: 10.5073 - mean_absolute_error: 2.46164585/4840 [===========================>..] - ETA: 0s - loss: 10.5035 - mean_absolute_error: 2.46124640/4840 [===========================>..] - ETA: 0s - loss: 10.5003 - mean_absolute_error: 2.46104696/4840 [============================>.] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46094754/4840 [============================>.] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46074812/4840 [============================>.] - ETA: 0s - loss: 10.5008 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 934us/step - loss: 10.5031 - mean_absolute_error: 2.4614 - val_loss: 11.4969 - val_mean_absolute_error: 2.5816
Epoch 82/100
   1/4840 [..............................] - ETA: 4s - loss: 9.3894 - mean_absolute_error: 2.3115  58/4840 [..............................] - ETA: 4s - loss: 10.4511 - mean_absolute_error: 2.4666 118/4840 [..............................] - ETA: 4s - loss: 10.1122 - mean_absolute_error: 2.4118 174/4840 [>.............................] - ETA: 4s - loss: 10.1343 - mean_absolute_error: 2.4186 233/4840 [>.............................] - ETA: 3s - loss: 9.9070 - mean_absolute_error: 2.3908  290/4840 [>.............................] - ETA: 3s - loss: 10.2141 - mean_absolute_error: 2.4348 351/4840 [=>............................] - ETA: 3s - loss: 10.2036 - mean_absolute_error: 2.4288 408/4840 [=>............................] - ETA: 3s - loss: 10.2186 - mean_absolute_error: 2.4311 466/4840 [=>............................] - ETA: 3s - loss: 10.2020 - mean_absolute_error: 2.4317 522/4840 [==>...........................] - ETA: 3s - loss: 10.2500 - mean_absolute_error: 2.4376 581/4840 [==>...........................] - ETA: 3s - loss: 10.3221 - mean_absolute_error: 2.4454 641/4840 [==>...........................] - ETA: 3s - loss: 10.3312 - mean_absolute_error: 2.4469 700/4840 [===>..........................] - ETA: 3s - loss: 10.3986 - mean_absolute_error: 2.4585 759/4840 [===>..........................] - ETA: 3s - loss: 10.4595 - mean_absolute_error: 2.4660 819/4840 [====>.........................] - ETA: 3s - loss: 10.4468 - mean_absolute_error: 2.4642 877/4840 [====>.........................] - ETA: 3s - loss: 10.4422 - mean_absolute_error: 2.4632 935/4840 [====>.........................] - ETA: 3s - loss: 10.4453 - mean_absolute_error: 2.4612 993/4840 [=====>........................] - ETA: 3s - loss: 10.4303 - mean_absolute_error: 2.45981050/4840 [=====>........................] - ETA: 3s - loss: 10.4489 - mean_absolute_error: 2.46121108/4840 [=====>........................] - ETA: 3s - loss: 10.4802 - mean_absolute_error: 2.46491167/4840 [======>.......................] - ETA: 3s - loss: 10.5040 - mean_absolute_error: 2.46651224/4840 [======>.......................] - ETA: 3s - loss: 10.4846 - mean_absolute_error: 2.46371282/4840 [======>.......................] - ETA: 3s - loss: 10.4988 - mean_absolute_error: 2.46421341/4840 [=======>......................] - ETA: 3s - loss: 10.4907 - mean_absolute_error: 2.46191398/4840 [=======>......................] - ETA: 2s - loss: 10.4681 - mean_absolute_error: 2.45901457/4840 [========>.....................] - ETA: 2s - loss: 10.4690 - mean_absolute_error: 2.46011517/4840 [========>.....................] - ETA: 2s - loss: 10.4598 - mean_absolute_error: 2.45841574/4840 [========>.....................] - ETA: 2s - loss: 10.4517 - mean_absolute_error: 2.45751633/4840 [=========>....................] - ETA: 2s - loss: 10.4562 - mean_absolute_error: 2.45811691/4840 [=========>....................] - ETA: 2s - loss: 10.4428 - mean_absolute_error: 2.45601750/4840 [=========>....................] - ETA: 2s - loss: 10.4315 - mean_absolute_error: 2.45461809/4840 [==========>...................] - 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mean_absolute_error: 2.45602453/4840 [==============>...............] - ETA: 2s - loss: 10.4666 - mean_absolute_error: 2.45902512/4840 [==============>...............] - ETA: 2s - loss: 10.4557 - mean_absolute_error: 2.45772570/4840 [==============>...............] - ETA: 1s - loss: 10.4718 - mean_absolute_error: 2.45892628/4840 [===============>..............] - ETA: 1s - loss: 10.4709 - mean_absolute_error: 2.45912686/4840 [===============>..............] - ETA: 1s - loss: 10.4679 - mean_absolute_error: 2.45882746/4840 [================>.............] - ETA: 1s - loss: 10.4660 - mean_absolute_error: 2.45862805/4840 [================>.............] - ETA: 1s - loss: 10.4650 - mean_absolute_error: 2.45832865/4840 [================>.............] - ETA: 1s - loss: 10.4664 - mean_absolute_error: 2.45802925/4840 [=================>............] - ETA: 1s - loss: 10.4650 - mean_absolute_error: 2.45842983/4840 [=================>............] - ETA: 1s - loss: 10.4601 - mean_absolute_error: 2.45813043/4840 [=================>............] - 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mean_absolute_error: 2.46023684/4840 [=====================>........] - ETA: 0s - loss: 10.4713 - mean_absolute_error: 2.45903741/4840 [======================>.......] - ETA: 0s - loss: 10.4802 - mean_absolute_error: 2.46013801/4840 [======================>.......] - ETA: 0s - loss: 10.4783 - mean_absolute_error: 2.45953860/4840 [======================>.......] - ETA: 0s - loss: 10.4827 - mean_absolute_error: 2.46003918/4840 [=======================>......] - ETA: 0s - loss: 10.4934 - mean_absolute_error: 2.46143977/4840 [=======================>......] - ETA: 0s - loss: 10.5009 - mean_absolute_error: 2.46224037/4840 [========================>.....] - ETA: 0s - loss: 10.5014 - mean_absolute_error: 2.46234097/4840 [========================>.....] - ETA: 0s - loss: 10.4977 - mean_absolute_error: 2.46194154/4840 [========================>.....] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.46094211/4840 [=========================>....] - ETA: 0s - loss: 10.4945 - mean_absolute_error: 2.46064271/4840 [=========================>....] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.46084330/4840 [=========================>....] - ETA: 0s - loss: 10.4979 - mean_absolute_error: 2.46064386/4840 [==========================>...] - ETA: 0s - loss: 10.4986 - mean_absolute_error: 2.46074443/4840 [==========================>...] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46144502/4840 [==========================>...] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46064559/4840 [===========================>..] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46084614/4840 [===========================>..] - ETA: 0s - loss: 10.4984 - mean_absolute_error: 2.46084672/4840 [===========================>..] - ETA: 0s - loss: 10.4957 - mean_absolute_error: 2.46024729/4840 [============================>.] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46054787/4840 [============================>.] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46134840/4840 [==============================] - 4s 907us/step - loss: 10.5030 - mean_absolute_error: 2.4610 - val_loss: 11.5013 - val_mean_absolute_error: 2.5816
Epoch 83/100
   1/4840 [..............................] - ETA: 9s - loss: 5.9370 - mean_absolute_error: 1.8481  59/4840 [..............................] - ETA: 4s - loss: 10.5211 - mean_absolute_error: 2.4595 118/4840 [..............................] - ETA: 4s - loss: 10.2998 - mean_absolute_error: 2.4374 176/4840 [>.............................] - ETA: 4s - loss: 10.2237 - mean_absolute_error: 2.4209 232/4840 [>.............................] - ETA: 4s - loss: 10.2157 - mean_absolute_error: 2.4266 290/4840 [>.............................] - ETA: 3s - loss: 10.3302 - mean_absolute_error: 2.4369 347/4840 [=>............................] - ETA: 3s - loss: 10.2417 - mean_absolute_error: 2.4275 405/4840 [=>............................] - ETA: 3s - loss: 10.3327 - mean_absolute_error: 2.4426 460/4840 [=>............................] - ETA: 3s - loss: 10.3242 - mean_absolute_error: 2.4415 519/4840 [==>...........................] - ETA: 3s - loss: 10.3194 - mean_absolute_error: 2.4391 578/4840 [==>...........................] - ETA: 3s - loss: 10.3656 - mean_absolute_error: 2.4460 632/4840 [==>...........................] - ETA: 3s - loss: 10.4040 - mean_absolute_error: 2.4504 686/4840 [===>..........................] - ETA: 3s - loss: 10.4215 - mean_absolute_error: 2.4525 745/4840 [===>..........................] - ETA: 3s - loss: 10.3826 - mean_absolute_error: 2.4470 802/4840 [===>..........................] - ETA: 3s - loss: 10.3637 - mean_absolute_error: 2.4461 860/4840 [====>.........................] - ETA: 3s - loss: 10.3658 - mean_absolute_error: 2.4469 919/4840 [====>.........................] - ETA: 3s - loss: 10.3933 - mean_absolute_error: 2.4501 976/4840 [=====>........................] - ETA: 3s - loss: 10.4215 - mean_absolute_error: 2.45351032/4840 [=====>........................] - ETA: 3s - loss: 10.4262 - mean_absolute_error: 2.45461089/4840 [=====>........................] - ETA: 3s - loss: 10.4391 - mean_absolute_error: 2.45491147/4840 [======>.......................] - ETA: 3s - loss: 10.4484 - mean_absolute_error: 2.45501206/4840 [======>.......................] - ETA: 3s - loss: 10.4709 - mean_absolute_error: 2.45771261/4840 [======>.......................] - ETA: 3s - loss: 10.5011 - mean_absolute_error: 2.46061320/4840 [=======>......................] - ETA: 3s - loss: 10.5131 - mean_absolute_error: 2.46311376/4840 [=======>......................] - ETA: 3s - loss: 10.5168 - mean_absolute_error: 2.46421433/4840 [=======>......................] - ETA: 2s - loss: 10.5200 - mean_absolute_error: 2.46351488/4840 [========>.....................] - ETA: 2s - loss: 10.5201 - mean_absolute_error: 2.46341545/4840 [========>.....................] - ETA: 2s - loss: 10.5377 - mean_absolute_error: 2.46511602/4840 [========>.....................] - ETA: 2s - loss: 10.5213 - mean_absolute_error: 2.46221661/4840 [=========>....................] - ETA: 2s - loss: 10.5228 - mean_absolute_error: 2.46271719/4840 [=========>....................] - ETA: 2s - loss: 10.5281 - mean_absolute_error: 2.46321777/4840 [==========>...................] - 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mean_absolute_error: 2.46402413/4840 [=============>................] - ETA: 2s - loss: 10.5229 - mean_absolute_error: 2.46352471/4840 [==============>...............] - ETA: 2s - loss: 10.5142 - mean_absolute_error: 2.46212529/4840 [==============>...............] - ETA: 2s - loss: 10.5106 - mean_absolute_error: 2.46242589/4840 [===============>..............] - ETA: 1s - loss: 10.5197 - mean_absolute_error: 2.46352648/4840 [===============>..............] - ETA: 1s - loss: 10.5219 - mean_absolute_error: 2.46412708/4840 [===============>..............] - ETA: 1s - loss: 10.5231 - mean_absolute_error: 2.46462765/4840 [================>.............] - ETA: 1s - loss: 10.5326 - mean_absolute_error: 2.46552820/4840 [================>.............] - ETA: 1s - loss: 10.5367 - mean_absolute_error: 2.46662880/4840 [================>.............] - ETA: 1s - loss: 10.5300 - mean_absolute_error: 2.46542939/4840 [=================>............] - ETA: 1s - loss: 10.5211 - mean_absolute_error: 2.46452998/4840 [=================>............] - 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mean_absolute_error: 2.46234840/4840 [==============================] - 4s 912us/step - loss: 10.5022 - mean_absolute_error: 2.4621 - val_loss: 11.4991 - val_mean_absolute_error: 2.5812
Epoch 84/100
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mean_absolute_error: 2.46114840/4840 [==============================] - 4s 909us/step - loss: 10.5035 - mean_absolute_error: 2.4611 - val_loss: 11.5016 - val_mean_absolute_error: 2.5811
Epoch 85/100
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mean_absolute_error: 2.44822435/4840 [==============>...............] - ETA: 2s - loss: 10.3934 - mean_absolute_error: 2.44902493/4840 [==============>...............] - ETA: 2s - loss: 10.3912 - mean_absolute_error: 2.44842552/4840 [==============>...............] - ETA: 1s - loss: 10.4201 - mean_absolute_error: 2.45192611/4840 [===============>..............] - ETA: 1s - loss: 10.4330 - mean_absolute_error: 2.45382666/4840 [===============>..............] - ETA: 1s - loss: 10.4345 - mean_absolute_error: 2.45352724/4840 [===============>..............] - ETA: 1s - loss: 10.4231 - mean_absolute_error: 2.45242779/4840 [================>.............] - ETA: 1s - loss: 10.4223 - mean_absolute_error: 2.45212838/4840 [================>.............] - ETA: 1s - loss: 10.4071 - mean_absolute_error: 2.45022897/4840 [================>.............] - ETA: 1s - loss: 10.4092 - mean_absolute_error: 2.45032957/4840 [=================>............] - ETA: 1s - loss: 10.3888 - mean_absolute_error: 2.44763016/4840 [=================>............] - 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mean_absolute_error: 2.46024840/4840 [==============================] - 4s 911us/step - loss: 10.5031 - mean_absolute_error: 2.4606 - val_loss: 11.5047 - val_mean_absolute_error: 2.5818
Epoch 86/100
   1/4840 [..............................] - ETA: 4s - loss: 8.4460 - mean_absolute_error: 2.2005  59/4840 [..............................] - ETA: 4s - loss: 9.7953 - mean_absolute_error: 2.3651 117/4840 [..............................] - ETA: 4s - loss: 10.2226 - mean_absolute_error: 2.4212 176/4840 [>.............................] - ETA: 4s - loss: 10.4227 - mean_absolute_error: 2.4455 233/4840 [>.............................] - ETA: 4s - loss: 10.5455 - mean_absolute_error: 2.4678 288/4840 [>.............................] - ETA: 3s - loss: 10.5576 - mean_absolute_error: 2.4678 346/4840 [=>............................] - ETA: 3s - loss: 10.5752 - mean_absolute_error: 2.4650 404/4840 [=>............................] - ETA: 3s - loss: 10.6526 - mean_absolute_error: 2.4756 463/4840 [=>............................] - ETA: 3s - loss: 10.6453 - mean_absolute_error: 2.4757 521/4840 [==>...........................] - ETA: 3s - loss: 10.5867 - mean_absolute_error: 2.4709 577/4840 [==>...........................] - 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mean_absolute_error: 2.45462418/4840 [=============>................] - ETA: 2s - loss: 10.4535 - mean_absolute_error: 2.45522477/4840 [==============>...............] - ETA: 2s - loss: 10.4415 - mean_absolute_error: 2.45362534/4840 [==============>...............] - ETA: 2s - loss: 10.4476 - mean_absolute_error: 2.45432592/4840 [===============>..............] - ETA: 1s - loss: 10.4575 - mean_absolute_error: 2.45582651/4840 [===============>..............] - ETA: 1s - loss: 10.4593 - mean_absolute_error: 2.45562708/4840 [===============>..............] - ETA: 1s - loss: 10.4655 - mean_absolute_error: 2.45682765/4840 [================>.............] - ETA: 1s - loss: 10.4604 - mean_absolute_error: 2.45562823/4840 [================>.............] - ETA: 1s - loss: 10.4519 - mean_absolute_error: 2.45462882/4840 [================>.............] - ETA: 1s - loss: 10.4453 - mean_absolute_error: 2.45342939/4840 [=================>............] - ETA: 1s - loss: 10.4477 - mean_absolute_error: 2.45422994/4840 [=================>............] - 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ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46094806/4840 [============================>.] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46144822/4840 [============================>.] - ETA: 0s - loss: 10.5022 - mean_absolute_error: 2.46154838/4840 [============================>.] - ETA: 0s - loss: 10.5031 - mean_absolute_error: 2.46194840/4840 [==============================] - 6s 1ms/step - loss: 10.5033 - mean_absolute_error: 2.4619 - val_loss: 11.5031 - val_mean_absolute_error: 2.5806
Epoch 87/100
   1/4840 [..............................] - ETA: 14s - loss: 6.4325 - mean_absolute_error: 1.8758  21/4840 [..............................] - ETA: 12s - loss: 10.6017 - mean_absolute_error: 2.4885  39/4840 [..............................] - ETA: 13s - loss: 10.5403 - mean_absolute_error: 2.4744  56/4840 [..............................] - ETA: 13s - loss: 10.4817 - mean_absolute_error: 2.4859  70/4840 [..............................] - ETA: 14s - loss: 10.2962 - mean_absolute_error: 2.4483  85/4840 [..............................] - ETA: 14s - loss: 9.9437 - mean_absolute_error: 2.3930  101/4840 [..............................] - ETA: 14s - loss: 9.9388 - mean_absolute_error: 2.3889 115/4840 [..............................] - ETA: 15s - loss: 10.0054 - mean_absolute_error: 2.3989 131/4840 [..............................] - ETA: 15s - loss: 10.1286 - mean_absolute_error: 2.4131 145/4840 [..............................] - ETA: 15s - loss: 10.2517 - mean_absolute_error: 2.4277 160/4840 [..............................] - ETA: 15s - loss: 10.2500 - mean_absolute_error: 2.4289 177/4840 [>.............................] - ETA: 15s - loss: 10.3784 - mean_absolute_error: 2.4441 191/4840 [>.............................] - ETA: 15s - loss: 10.4428 - mean_absolute_error: 2.4532 203/4840 [>.............................] - ETA: 15s - loss: 10.4785 - mean_absolute_error: 2.4546 213/4840 [>.............................] - ETA: 15s - loss: 10.4880 - mean_absolute_error: 2.4562 231/4840 [>.............................] - ETA: 15s - loss: 10.5685 - mean_absolute_error: 2.4688 245/4840 [>.............................] - ETA: 15s - loss: 10.5721 - mean_absolute_error: 2.4693 260/4840 [>.............................] - ETA: 15s - loss: 10.5598 - mean_absolute_error: 2.4698 274/4840 [>.............................] - ETA: 15s - loss: 10.5847 - mean_absolute_error: 2.4728 289/4840 [>.............................] - ETA: 15s - loss: 10.5971 - mean_absolute_error: 2.4752 307/4840 [>.............................] - ETA: 15s - 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ETA: 0s - loss: 10.4976 - mean_absolute_error: 2.46044582/4840 [===========================>..] - ETA: 0s - loss: 10.4988 - mean_absolute_error: 2.46084630/4840 [===========================>..] - ETA: 0s - loss: 10.5023 - mean_absolute_error: 2.46134669/4840 [===========================>..] - ETA: 0s - loss: 10.5018 - mean_absolute_error: 2.46144709/4840 [============================>.] - ETA: 0s - loss: 10.4989 - mean_absolute_error: 2.46094757/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46174806/4840 [============================>.] - ETA: 0s - loss: 10.5033 - mean_absolute_error: 2.46124840/4840 [==============================] - 9s 2ms/step - loss: 10.5027 - mean_absolute_error: 2.4612 - val_loss: 11.5034 - val_mean_absolute_error: 2.5814
Epoch 88/100
   1/4840 [..............................] - ETA: 9s - loss: 6.7973 - mean_absolute_error: 2.0349  49/4840 [..............................] - ETA: 5s - loss: 9.8752 - mean_absolute_error: 2.3790  93/4840 [..............................] - ETA: 5s - loss: 10.3054 - mean_absolute_error: 2.4279 133/4840 [..............................] - ETA: 5s - loss: 9.9296 - mean_absolute_error: 2.3850  173/4840 [>.............................] - ETA: 5s - loss: 10.1291 - mean_absolute_error: 2.4138 218/4840 [>.............................] - ETA: 5s - loss: 9.9964 - mean_absolute_error: 2.3917  267/4840 [>.............................] - ETA: 5s - loss: 9.9987 - mean_absolute_error: 2.3876 313/4840 [>.............................] - ETA: 5s - loss: 9.9704 - mean_absolute_error: 2.3858 351/4840 [=>............................] - ETA: 5s - loss: 9.9930 - mean_absolute_error: 2.3916 397/4840 [=>............................] - ETA: 5s - loss: 9.9940 - mean_absolute_error: 2.3905 441/4840 [=>............................] - ETA: 5s - loss: 9.9963 - mean_absolute_error: 2.3935 487/4840 [==>...........................] - ETA: 4s - loss: 10.0369 - mean_absolute_error: 2.3985 533/4840 [==>...........................] - ETA: 4s - loss: 10.0469 - mean_absolute_error: 2.3989 581/4840 [==>...........................] - ETA: 4s - loss: 10.0605 - mean_absolute_error: 2.4009 629/4840 [==>...........................] - ETA: 4s - loss: 10.1075 - mean_absolute_error: 2.4080 674/4840 [===>..........................] - ETA: 4s - loss: 10.1508 - mean_absolute_error: 2.4111 722/4840 [===>..........................] - ETA: 4s - loss: 10.1551 - mean_absolute_error: 2.4120 773/4840 [===>..........................] - ETA: 4s - loss: 10.2145 - mean_absolute_error: 2.4215 820/4840 [====>.........................] - ETA: 4s - loss: 10.1986 - mean_absolute_error: 2.4207 866/4840 [====>.........................] - ETA: 4s - loss: 10.2182 - mean_absolute_error: 2.4232 911/4840 [====>.........................] - ETA: 4s - loss: 10.2350 - mean_absolute_error: 2.4260 959/4840 [====>.........................] - ETA: 4s - loss: 10.2122 - mean_absolute_error: 2.42391009/4840 [=====>........................] - ETA: 4s - loss: 10.2274 - mean_absolute_error: 2.42601058/4840 [=====>........................] - ETA: 4s - loss: 10.2405 - mean_absolute_error: 2.42841107/4840 [=====>........................] - ETA: 4s - loss: 10.2647 - mean_absolute_error: 2.43031161/4840 [======>.......................] - ETA: 4s - loss: 10.2842 - mean_absolute_error: 2.43241217/4840 [======>.......................] - ETA: 3s - loss: 10.2787 - mean_absolute_error: 2.43171272/4840 [======>.......................] - ETA: 3s - loss: 10.2820 - mean_absolute_error: 2.43201325/4840 [=======>......................] - ETA: 3s - loss: 10.2913 - mean_absolute_error: 2.43281375/4840 [=======>......................] - ETA: 3s - loss: 10.2929 - mean_absolute_error: 2.43261429/4840 [=======>......................] - ETA: 3s - loss: 10.3045 - mean_absolute_error: 2.43311484/4840 [========>.....................] - ETA: 3s - loss: 10.3158 - mean_absolute_error: 2.43521524/4840 [========>.....................] - ETA: 3s - loss: 10.3256 - mean_absolute_error: 2.43701561/4840 [========>.....................] - ETA: 3s - loss: 10.3183 - mean_absolute_error: 2.43671594/4840 [========>.....................] - ETA: 3s - loss: 10.3309 - mean_absolute_error: 2.43851628/4840 [=========>....................] - ETA: 3s - loss: 10.3451 - mean_absolute_error: 2.44011663/4840 [=========>....................] - ETA: 3s - loss: 10.3458 - mean_absolute_error: 2.44031701/4840 [=========>....................] - ETA: 3s - loss: 10.3520 - mean_absolute_error: 2.44111722/4840 [=========>....................] - ETA: 3s - loss: 10.3578 - mean_absolute_error: 2.44121756/4840 [=========>....................] - ETA: 3s - loss: 10.3701 - mean_absolute_error: 2.44271794/4840 [==========>...................] - ETA: 3s - loss: 10.3841 - mean_absolute_error: 2.44421832/4840 [==========>...................] - ETA: 3s - loss: 10.3937 - mean_absolute_error: 2.44521883/4840 [==========>...................] - ETA: 3s - loss: 10.3942 - mean_absolute_error: 2.44511937/4840 [===========>..................] - ETA: 3s - loss: 10.3962 - mean_absolute_error: 2.44511990/4840 [===========>..................] - ETA: 3s - loss: 10.3979 - mean_absolute_error: 2.44572043/4840 [===========>..................] - ETA: 3s - loss: 10.3997 - mean_absolute_error: 2.44562096/4840 [===========>..................] - ETA: 3s - loss: 10.4242 - mean_absolute_error: 2.44992152/4840 [============>.................] - ETA: 2s - loss: 10.4301 - mean_absolute_error: 2.45072205/4840 [============>.................] - ETA: 2s - loss: 10.4382 - mean_absolute_error: 2.45212254/4840 [============>.................] - ETA: 2s - loss: 10.4338 - mean_absolute_error: 2.45152305/4840 [=============>................] - ETA: 2s - loss: 10.4459 - mean_absolute_error: 2.45332359/4840 [=============>................] - ETA: 2s - loss: 10.4444 - mean_absolute_error: 2.45402415/4840 [=============>................] - ETA: 2s - loss: 10.4491 - mean_absolute_error: 2.45522472/4840 [==============>...............] - ETA: 2s - loss: 10.4394 - mean_absolute_error: 2.45322528/4840 [==============>...............] - ETA: 2s - loss: 10.4380 - mean_absolute_error: 2.45362583/4840 [===============>..............] - ETA: 2s - loss: 10.4450 - mean_absolute_error: 2.45422640/4840 [===============>..............] - ETA: 2s - loss: 10.4340 - mean_absolute_error: 2.45272696/4840 [===============>..............] - ETA: 2s - loss: 10.4410 - mean_absolute_error: 2.45312753/4840 [================>.............] - ETA: 2s - loss: 10.4434 - mean_absolute_error: 2.45332810/4840 [================>.............] - ETA: 2s - loss: 10.4562 - mean_absolute_error: 2.45562867/4840 [================>.............] - ETA: 2s - loss: 10.4563 - mean_absolute_error: 2.45582924/4840 [=================>............] - ETA: 2s - loss: 10.4617 - mean_absolute_error: 2.45572978/4840 [=================>............] - ETA: 1s - loss: 10.4636 - mean_absolute_error: 2.45583025/4840 [=================>............] - ETA: 1s - loss: 10.4609 - mean_absolute_error: 2.45543077/4840 [==================>...........] - ETA: 1s - loss: 10.4584 - mean_absolute_error: 2.45483117/4840 [==================>...........] - ETA: 1s - loss: 10.4516 - mean_absolute_error: 2.45383167/4840 [==================>...........] - ETA: 1s - loss: 10.4551 - mean_absolute_error: 2.45403222/4840 [==================>...........] - ETA: 1s - loss: 10.4529 - mean_absolute_error: 2.45373273/4840 [===================>..........] - ETA: 1s - loss: 10.4577 - mean_absolute_error: 2.45433325/4840 [===================>..........] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45543379/4840 [===================>..........] - ETA: 1s - loss: 10.4675 - mean_absolute_error: 2.45603434/4840 [====================>.........] - ETA: 1s - loss: 10.4734 - mean_absolute_error: 2.45673491/4840 [====================>.........] - ETA: 1s - loss: 10.4620 - mean_absolute_error: 2.45533546/4840 [====================>.........] - ETA: 1s - loss: 10.4748 - mean_absolute_error: 2.45723599/4840 [=====================>........] - ETA: 1s - loss: 10.4724 - mean_absolute_error: 2.45713651/4840 [=====================>........] - ETA: 1s - loss: 10.4720 - mean_absolute_error: 2.45683704/4840 [=====================>........] - ETA: 1s - loss: 10.4628 - mean_absolute_error: 2.45573759/4840 [======================>.......] - ETA: 1s - loss: 10.4629 - mean_absolute_error: 2.45573813/4840 [======================>.......] - ETA: 1s - loss: 10.4676 - mean_absolute_error: 2.45593868/4840 [======================>.......] - ETA: 1s - loss: 10.4701 - mean_absolute_error: 2.45653923/4840 [=======================>......] - ETA: 0s - loss: 10.4837 - mean_absolute_error: 2.45843977/4840 [=======================>......] - ETA: 0s - loss: 10.4735 - mean_absolute_error: 2.45734030/4840 [=======================>......] - ETA: 0s - loss: 10.4719 - mean_absolute_error: 2.45734085/4840 [========================>.....] - ETA: 0s - loss: 10.4759 - mean_absolute_error: 2.45784140/4840 [========================>.....] - ETA: 0s - loss: 10.4770 - mean_absolute_error: 2.45794196/4840 [=========================>....] - ETA: 0s - loss: 10.4767 - mean_absolute_error: 2.45794251/4840 [=========================>....] - ETA: 0s - loss: 10.4738 - mean_absolute_error: 2.45784308/4840 [=========================>....] - ETA: 0s - loss: 10.4840 - mean_absolute_error: 2.45934364/4840 [==========================>...] - ETA: 0s - loss: 10.4862 - mean_absolute_error: 2.45964419/4840 [==========================>...] - ETA: 0s - loss: 10.4918 - mean_absolute_error: 2.46014473/4840 [==========================>...] - ETA: 0s - loss: 10.4883 - mean_absolute_error: 2.45934528/4840 [===========================>..] - ETA: 0s - loss: 10.4906 - mean_absolute_error: 2.45974586/4840 [===========================>..] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.45964644/4840 [===========================>..] - ETA: 0s - loss: 10.4905 - mean_absolute_error: 2.45924701/4840 [============================>.] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46094759/4840 [============================>.] - ETA: 0s - loss: 10.5061 - mean_absolute_error: 2.46134814/4840 [============================>.] - ETA: 0s - loss: 10.5064 - mean_absolute_error: 2.46144840/4840 [==============================] - 5s 1ms/step - loss: 10.5034 - mean_absolute_error: 2.4612 - val_loss: 11.5045 - val_mean_absolute_error: 2.5817
Epoch 89/100
   1/4840 [..............................] - ETA: 9s - loss: 17.8020 - mean_absolute_error: 3.3831  56/4840 [..............................] - ETA: 4s - loss: 10.4843 - mean_absolute_error: 2.4651 107/4840 [..............................] - ETA: 4s - loss: 10.4105 - mean_absolute_error: 2.4595 163/4840 [>.............................] - ETA: 4s - loss: 10.2851 - mean_absolute_error: 2.4455 219/4840 [>.............................] - ETA: 4s - loss: 10.5046 - mean_absolute_error: 2.4679 275/4840 [>.............................] - ETA: 4s - loss: 10.3526 - mean_absolute_error: 2.4505 332/4840 [=>............................] - ETA: 4s - loss: 10.3595 - mean_absolute_error: 2.4477 388/4840 [=>............................] - ETA: 4s - loss: 10.4280 - mean_absolute_error: 2.4535 445/4840 [=>............................] - ETA: 4s - loss: 10.4612 - mean_absolute_error: 2.4574 497/4840 [==>...........................] - ETA: 3s - loss: 10.5210 - mean_absolute_error: 2.4630 552/4840 [==>...........................] - ETA: 3s - loss: 10.4770 - mean_absolute_error: 2.4584 610/4840 [==>...........................] - ETA: 3s - loss: 10.4998 - mean_absolute_error: 2.4621 667/4840 [===>..........................] - ETA: 3s - loss: 10.4942 - mean_absolute_error: 2.4617 723/4840 [===>..........................] - ETA: 3s - loss: 10.5413 - mean_absolute_error: 2.4692 779/4840 [===>..........................] - ETA: 3s - loss: 10.5540 - mean_absolute_error: 2.4715 836/4840 [====>.........................] - ETA: 3s - loss: 10.4998 - mean_absolute_error: 2.4652 893/4840 [====>.........................] - ETA: 3s - loss: 10.4739 - mean_absolute_error: 2.4610 950/4840 [====>.........................] - ETA: 3s - loss: 10.4794 - mean_absolute_error: 2.46241006/4840 [=====>........................] - ETA: 3s - loss: 10.4848 - mean_absolute_error: 2.46321059/4840 [=====>........................] - ETA: 3s - loss: 10.4656 - mean_absolute_error: 2.46111113/4840 [=====>........................] - ETA: 3s - loss: 10.4622 - 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ETA: 2s - loss: 10.4986 - mean_absolute_error: 2.46161781/4840 [==========>...................] - ETA: 2s - loss: 10.4899 - mean_absolute_error: 2.46091838/4840 [==========>...................] - ETA: 2s - loss: 10.4857 - mean_absolute_error: 2.46071893/4840 [==========>...................] - ETA: 2s - loss: 10.4971 - mean_absolute_error: 2.46271949/4840 [===========>..................] - ETA: 2s - loss: 10.5062 - mean_absolute_error: 2.46332004/4840 [===========>..................] - ETA: 2s - loss: 10.4998 - mean_absolute_error: 2.46242060/4840 [===========>..................] - ETA: 2s - loss: 10.4959 - mean_absolute_error: 2.46152116/4840 [============>.................] - ETA: 2s - loss: 10.4970 - mean_absolute_error: 2.46182172/4840 [============>.................] - ETA: 2s - loss: 10.4903 - mean_absolute_error: 2.46152228/4840 [============>.................] - ETA: 2s - loss: 10.4730 - mean_absolute_error: 2.45882283/4840 [=============>................] - ETA: 2s - loss: 10.4791 - 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mean_absolute_error: 2.46153520/4840 [====================>.........] - ETA: 1s - loss: 10.4904 - mean_absolute_error: 2.46093575/4840 [=====================>........] - ETA: 1s - loss: 10.4923 - mean_absolute_error: 2.46103632/4840 [=====================>........] - ETA: 1s - loss: 10.4848 - mean_absolute_error: 2.46013688/4840 [=====================>........] - ETA: 1s - loss: 10.4840 - mean_absolute_error: 2.46003742/4840 [======================>.......] - ETA: 0s - loss: 10.4778 - mean_absolute_error: 2.45933796/4840 [======================>.......] - ETA: 0s - loss: 10.4823 - mean_absolute_error: 2.46023853/4840 [======================>.......] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.46093907/4840 [=======================>......] - ETA: 0s - loss: 10.4919 - mean_absolute_error: 2.46143961/4840 [=======================>......] - ETA: 0s - loss: 10.4946 - mean_absolute_error: 2.46154014/4840 [=======================>......] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46254070/4840 [========================>.....] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46314127/4840 [========================>.....] - ETA: 0s - loss: 10.5108 - mean_absolute_error: 2.46354183/4840 [========================>.....] - ETA: 0s - loss: 10.5099 - mean_absolute_error: 2.46324241/4840 [=========================>....] - ETA: 0s - loss: 10.5134 - mean_absolute_error: 2.46374297/4840 [=========================>....] - ETA: 0s - loss: 10.5163 - mean_absolute_error: 2.46424352/4840 [=========================>....] - ETA: 0s - loss: 10.5126 - mean_absolute_error: 2.46364408/4840 [==========================>...] - ETA: 0s - loss: 10.5100 - mean_absolute_error: 2.46304458/4840 [==========================>...] - ETA: 0s - loss: 10.5072 - mean_absolute_error: 2.46254511/4840 [==========================>...] - ETA: 0s - loss: 10.5047 - mean_absolute_error: 2.46184563/4840 [===========================>..] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46204620/4840 [===========================>..] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46124676/4840 [===========================>..] - ETA: 0s - loss: 10.4998 - mean_absolute_error: 2.46174733/4840 [============================>.] - ETA: 0s - loss: 10.5097 - mean_absolute_error: 2.46304790/4840 [============================>.] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46224840/4840 [==============================] - 5s 948us/step - loss: 10.5027 - mean_absolute_error: 2.4616 - val_loss: 11.5025 - val_mean_absolute_error: 2.5810
Epoch 90/100
   1/4840 [..............................] - ETA: 9s - loss: 11.4895 - mean_absolute_error: 2.6831  57/4840 [..............................] - ETA: 4s - loss: 9.8637 - mean_absolute_error: 2.3889  116/4840 [..............................] - ETA: 4s - loss: 10.2080 - mean_absolute_error: 2.4256 174/4840 [>.............................] - ETA: 4s - loss: 10.3121 - mean_absolute_error: 2.4449 233/4840 [>.............................] - ETA: 4s - loss: 10.2140 - mean_absolute_error: 2.4326 291/4840 [>.............................] - ETA: 3s - loss: 10.1509 - mean_absolute_error: 2.4257 349/4840 [=>............................] - ETA: 3s - loss: 10.0634 - mean_absolute_error: 2.4120 407/4840 [=>............................] - ETA: 3s - loss: 10.1848 - mean_absolute_error: 2.4221 461/4840 [=>............................] - ETA: 3s - loss: 10.1107 - mean_absolute_error: 2.4102 514/4840 [==>...........................] - ETA: 3s - loss: 10.0832 - mean_absolute_error: 2.4032 568/4840 [==>...........................] - ETA: 3s - loss: 10.1519 - mean_absolute_error: 2.4121 623/4840 [==>...........................] - ETA: 3s - loss: 10.1802 - mean_absolute_error: 2.4158 682/4840 [===>..........................] - ETA: 3s - loss: 10.1543 - mean_absolute_error: 2.4133 740/4840 [===>..........................] - ETA: 3s - loss: 10.1584 - mean_absolute_error: 2.4155 797/4840 [===>..........................] - ETA: 3s - loss: 10.1879 - mean_absolute_error: 2.4177 854/4840 [====>.........................] - ETA: 3s - loss: 10.1920 - mean_absolute_error: 2.4189 912/4840 [====>.........................] - ETA: 3s - loss: 10.2097 - mean_absolute_error: 2.4220 970/4840 [=====>........................] - ETA: 3s - loss: 10.2031 - mean_absolute_error: 2.42051028/4840 [=====>........................] - ETA: 3s - loss: 10.2119 - mean_absolute_error: 2.42261085/4840 [=====>........................] - ETA: 3s - loss: 10.2207 - mean_absolute_error: 2.42321139/4840 [======>.......................] - ETA: 3s - loss: 10.2351 - mean_absolute_error: 2.42521195/4840 [======>.......................] - ETA: 3s - loss: 10.2172 - mean_absolute_error: 2.42331254/4840 [======>.......................] - ETA: 3s - loss: 10.2726 - mean_absolute_error: 2.43111312/4840 [=======>......................] - ETA: 3s - loss: 10.3009 - mean_absolute_error: 2.43361371/4840 [=======>......................] - ETA: 3s - loss: 10.3570 - mean_absolute_error: 2.44051429/4840 [=======>......................] - ETA: 3s - loss: 10.3647 - mean_absolute_error: 2.44141487/4840 [========>.....................] - ETA: 2s - loss: 10.4121 - mean_absolute_error: 2.44881544/4840 [========>.....................] - ETA: 2s - loss: 10.4153 - mean_absolute_error: 2.45001601/4840 [========>.....................] - ETA: 2s - loss: 10.4009 - mean_absolute_error: 2.44861659/4840 [=========>....................] - ETA: 2s - loss: 10.3924 - mean_absolute_error: 2.44781714/4840 [=========>....................] - ETA: 2s - loss: 10.3998 - mean_absolute_error: 2.44861768/4840 [=========>....................] - ETA: 2s - loss: 10.4093 - mean_absolute_error: 2.44951824/4840 [==========>...................] - ETA: 2s - loss: 10.4184 - mean_absolute_error: 2.45051882/4840 [==========>...................] - ETA: 2s - loss: 10.4249 - mean_absolute_error: 2.45101941/4840 [===========>..................] - ETA: 2s - loss: 10.4266 - mean_absolute_error: 2.45111998/4840 [===========>..................] - ETA: 2s - loss: 10.4210 - mean_absolute_error: 2.45062049/4840 [===========>..................] - ETA: 2s - loss: 10.4237 - mean_absolute_error: 2.45052104/4840 [============>.................] - ETA: 2s - loss: 10.4209 - mean_absolute_error: 2.45042160/4840 [============>.................] - ETA: 2s - loss: 10.4125 - mean_absolute_error: 2.44932217/4840 [============>.................] - ETA: 2s - loss: 10.4037 - mean_absolute_error: 2.44852273/4840 [=============>................] - ETA: 2s - loss: 10.4056 - mean_absolute_error: 2.44812328/4840 [=============>................] - ETA: 2s - loss: 10.3965 - 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ETA: 1s - loss: 10.4342 - mean_absolute_error: 2.45262986/4840 [=================>............] - ETA: 1s - loss: 10.4303 - mean_absolute_error: 2.45223043/4840 [=================>............] - ETA: 1s - loss: 10.4238 - mean_absolute_error: 2.45093099/4840 [==================>...........] - ETA: 1s - loss: 10.4352 - mean_absolute_error: 2.45273154/4840 [==================>...........] - ETA: 1s - loss: 10.4479 - mean_absolute_error: 2.45433208/4840 [==================>...........] - ETA: 1s - loss: 10.4473 - mean_absolute_error: 2.45453262/4840 [===================>..........] - ETA: 1s - loss: 10.4468 - mean_absolute_error: 2.45473319/4840 [===================>..........] - ETA: 1s - loss: 10.4432 - mean_absolute_error: 2.45443377/4840 [===================>..........] - ETA: 1s - loss: 10.4377 - mean_absolute_error: 2.45353433/4840 [====================>.........] - ETA: 1s - loss: 10.4391 - mean_absolute_error: 2.45353487/4840 [====================>.........] - ETA: 1s - loss: 10.4397 - mean_absolute_error: 2.45343545/4840 [====================>.........] - ETA: 1s - loss: 10.4408 - mean_absolute_error: 2.45313602/4840 [=====================>........] - ETA: 1s - loss: 10.4469 - mean_absolute_error: 2.45413658/4840 [=====================>........] - ETA: 1s - loss: 10.4607 - mean_absolute_error: 2.45583710/4840 [=====================>........] - ETA: 1s - loss: 10.4595 - mean_absolute_error: 2.45563755/4840 [======================>.......] - ETA: 0s - loss: 10.4710 - mean_absolute_error: 2.45693804/4840 [======================>.......] - ETA: 0s - loss: 10.4768 - mean_absolute_error: 2.45783860/4840 [======================>.......] - ETA: 0s - loss: 10.4779 - mean_absolute_error: 2.45773913/4840 [=======================>......] - ETA: 0s - loss: 10.4930 - mean_absolute_error: 2.45983969/4840 [=======================>......] - ETA: 0s - loss: 10.5070 - mean_absolute_error: 2.46174025/4840 [=======================>......] - ETA: 0s - loss: 10.5096 - mean_absolute_error: 2.46224082/4840 [========================>.....] - ETA: 0s - loss: 10.5060 - mean_absolute_error: 2.46184140/4840 [========================>.....] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46124196/4840 [=========================>....] - ETA: 0s - loss: 10.5048 - mean_absolute_error: 2.46124254/4840 [=========================>....] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46034312/4840 [=========================>....] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46044370/4840 [==========================>...] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46064428/4840 [==========================>...] - ETA: 0s - loss: 10.5036 - mean_absolute_error: 2.46074485/4840 [==========================>...] - ETA: 0s - loss: 10.4970 - mean_absolute_error: 2.45994542/4840 [===========================>..] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.46014596/4840 [===========================>..] - ETA: 0s - loss: 10.4941 - mean_absolute_error: 2.45984648/4840 [===========================>..] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46004705/4840 [============================>.] - ETA: 0s - loss: 10.5039 - mean_absolute_error: 2.46074762/4840 [============================>.] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46084819/4840 [============================>.] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46074840/4840 [==============================] - 5s 944us/step - loss: 10.5032 - mean_absolute_error: 2.4607 - val_loss: 11.5010 - val_mean_absolute_error: 2.5813
Epoch 91/100
   1/4840 [..............................] - ETA: 9s - loss: 9.0883 - mean_absolute_error: 2.2790  56/4840 [..............................] - ETA: 4s - loss: 10.2581 - mean_absolute_error: 2.4273 109/4840 [..............................] - ETA: 4s - loss: 9.9830 - mean_absolute_error: 2.4098  167/4840 [>.............................] - ETA: 4s - loss: 10.3399 - mean_absolute_error: 2.4464 225/4840 [>.............................] - ETA: 4s - loss: 10.1647 - mean_absolute_error: 2.4177 282/4840 [>.............................] - ETA: 4s - loss: 10.2224 - mean_absolute_error: 2.4228 338/4840 [=>............................] - ETA: 4s - loss: 10.2968 - mean_absolute_error: 2.4299 378/4840 [=>............................] - ETA: 4s - loss: 10.3051 - mean_absolute_error: 2.4317 427/4840 [=>............................] - ETA: 4s - loss: 10.3346 - mean_absolute_error: 2.4360 483/4840 [=>............................] - ETA: 4s - loss: 10.3906 - mean_absolute_error: 2.4480 539/4840 [==>...........................] - 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ETA: 2s - loss: 10.4390 - mean_absolute_error: 2.45081762/4840 [=========>....................] - ETA: 2s - loss: 10.4457 - mean_absolute_error: 2.45221819/4840 [==========>...................] - ETA: 2s - loss: 10.4528 - mean_absolute_error: 2.45331876/4840 [==========>...................] - ETA: 2s - loss: 10.4468 - mean_absolute_error: 2.45281928/4840 [==========>...................] - ETA: 2s - loss: 10.4409 - mean_absolute_error: 2.45341984/4840 [===========>..................] - ETA: 2s - loss: 10.4420 - mean_absolute_error: 2.45282040/4840 [===========>..................] - ETA: 2s - loss: 10.4550 - mean_absolute_error: 2.45422097/4840 [===========>..................] - ETA: 2s - loss: 10.4481 - mean_absolute_error: 2.45342155/4840 [============>.................] - ETA: 2s - loss: 10.4549 - mean_absolute_error: 2.45442209/4840 [============>.................] - ETA: 2s - loss: 10.4529 - mean_absolute_error: 2.45432262/4840 [=============>................] - ETA: 2s - loss: 10.4676 - mean_absolute_error: 2.45622316/4840 [=============>................] - ETA: 2s - loss: 10.4723 - mean_absolute_error: 2.45662372/4840 [=============>................] - ETA: 2s - loss: 10.4668 - mean_absolute_error: 2.45562430/4840 [==============>...............] - ETA: 2s - loss: 10.4619 - mean_absolute_error: 2.45492486/4840 [==============>...............] - ETA: 2s - loss: 10.4439 - mean_absolute_error: 2.45242543/4840 [==============>...............] - ETA: 2s - loss: 10.4443 - mean_absolute_error: 2.45242600/4840 [===============>..............] - ETA: 2s - loss: 10.4451 - mean_absolute_error: 2.45272653/4840 [===============>..............] - ETA: 1s - loss: 10.4414 - mean_absolute_error: 2.45222696/4840 [===============>..............] - ETA: 1s - loss: 10.4347 - mean_absolute_error: 2.45112743/4840 [================>.............] - ETA: 1s - loss: 10.4352 - mean_absolute_error: 2.45112798/4840 [================>.............] - ETA: 1s - loss: 10.4335 - mean_absolute_error: 2.45092854/4840 [================>.............] - 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mean_absolute_error: 2.45403469/4840 [====================>.........] - ETA: 1s - loss: 10.4501 - mean_absolute_error: 2.45363525/4840 [====================>.........] - ETA: 1s - loss: 10.4464 - mean_absolute_error: 2.45303580/4840 [=====================>........] - ETA: 1s - loss: 10.4581 - mean_absolute_error: 2.45473637/4840 [=====================>........] - ETA: 1s - loss: 10.4708 - mean_absolute_error: 2.45623693/4840 [=====================>........] - ETA: 1s - loss: 10.4621 - mean_absolute_error: 2.45523749/4840 [======================>.......] - ETA: 0s - loss: 10.4757 - mean_absolute_error: 2.45703797/4840 [======================>.......] - ETA: 0s - loss: 10.4809 - mean_absolute_error: 2.45823849/4840 [======================>.......] - ETA: 0s - loss: 10.4768 - mean_absolute_error: 2.45783903/4840 [=======================>......] - ETA: 0s - loss: 10.4736 - mean_absolute_error: 2.45743959/4840 [=======================>......] - ETA: 0s - loss: 10.4740 - mean_absolute_error: 2.45784011/4840 [=======================>......] - ETA: 0s - loss: 10.4810 - mean_absolute_error: 2.45844061/4840 [========================>.....] - ETA: 0s - loss: 10.4775 - mean_absolute_error: 2.45794110/4840 [========================>.....] - ETA: 0s - loss: 10.4761 - mean_absolute_error: 2.45754163/4840 [========================>.....] - ETA: 0s - loss: 10.4719 - mean_absolute_error: 2.45684214/4840 [=========================>....] - ETA: 0s - loss: 10.4747 - mean_absolute_error: 2.45724266/4840 [=========================>....] - ETA: 0s - loss: 10.4719 - mean_absolute_error: 2.45694316/4840 [=========================>....] - ETA: 0s - loss: 10.4746 - mean_absolute_error: 2.45774363/4840 [==========================>...] - ETA: 0s - loss: 10.4713 - mean_absolute_error: 2.45674410/4840 [==========================>...] - ETA: 0s - loss: 10.4762 - mean_absolute_error: 2.45734456/4840 [==========================>...] - ETA: 0s - loss: 10.4760 - mean_absolute_error: 2.45774500/4840 [==========================>...] - ETA: 0s - loss: 10.4813 - mean_absolute_error: 2.45834552/4840 [===========================>..] - ETA: 0s - loss: 10.4816 - mean_absolute_error: 2.45804599/4840 [===========================>..] - ETA: 0s - loss: 10.4864 - mean_absolute_error: 2.45884647/4840 [===========================>..] - ETA: 0s - loss: 10.4896 - mean_absolute_error: 2.45934695/4840 [============================>.] - ETA: 0s - loss: 10.4872 - mean_absolute_error: 2.45894739/4840 [============================>.] - ETA: 0s - loss: 10.4870 - mean_absolute_error: 2.45884787/4840 [============================>.] - ETA: 0s - loss: 10.4935 - mean_absolute_error: 2.46004834/4840 [============================>.] - ETA: 0s - loss: 10.5029 - mean_absolute_error: 2.46124840/4840 [==============================] - 5s 982us/step - loss: 10.5032 - mean_absolute_error: 2.4613 - val_loss: 11.5041 - val_mean_absolute_error: 2.5815
Epoch 92/100
   1/4840 [..............................] - ETA: 4s - loss: 10.5885 - mean_absolute_error: 2.3631  54/4840 [..............................] - ETA: 4s - loss: 10.1464 - mean_absolute_error: 2.4149 106/4840 [..............................] - ETA: 4s - loss: 10.4868 - mean_absolute_error: 2.4466 158/4840 [..............................] - ETA: 4s - loss: 10.4064 - mean_absolute_error: 2.4376 209/4840 [>.............................] - ETA: 4s - loss: 10.3634 - mean_absolute_error: 2.4269 257/4840 [>.............................] - ETA: 4s - loss: 10.2177 - mean_absolute_error: 2.4073 311/4840 [>.............................] - ETA: 4s - loss: 10.3366 - mean_absolute_error: 2.4231 367/4840 [=>............................] - ETA: 4s - loss: 10.3754 - mean_absolute_error: 2.4321 422/4840 [=>............................] - ETA: 4s - loss: 10.3803 - mean_absolute_error: 2.4344 477/4840 [=>............................] - ETA: 4s - loss: 10.4710 - mean_absolute_error: 2.4509 533/4840 [==>...........................] - ETA: 4s - loss: 10.4466 - mean_absolute_error: 2.4507 591/4840 [==>...........................] - ETA: 3s - loss: 10.3679 - mean_absolute_error: 2.4406 646/4840 [===>..........................] - ETA: 3s - loss: 10.3254 - mean_absolute_error: 2.4353 704/4840 [===>..........................] - ETA: 3s - loss: 10.3471 - mean_absolute_error: 2.4397 760/4840 [===>..........................] - ETA: 3s - loss: 10.3467 - mean_absolute_error: 2.4413 810/4840 [====>.........................] - ETA: 3s - loss: 10.3743 - mean_absolute_error: 2.4455 862/4840 [====>.........................] - ETA: 3s - loss: 10.3772 - mean_absolute_error: 2.4473 919/4840 [====>.........................] - ETA: 3s - loss: 10.4139 - mean_absolute_error: 2.4522 974/4840 [=====>........................] - ETA: 3s - loss: 10.4254 - mean_absolute_error: 2.45321028/4840 [=====>........................] - ETA: 3s - loss: 10.3933 - mean_absolute_error: 2.45051081/4840 [=====>........................] - ETA: 3s - loss: 10.4132 - 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mean_absolute_error: 2.45912240/4840 [============>.................] - ETA: 2s - loss: 10.4571 - mean_absolute_error: 2.45842286/4840 [=============>................] - ETA: 2s - loss: 10.4670 - mean_absolute_error: 2.45962333/4840 [=============>................] - ETA: 2s - loss: 10.4731 - mean_absolute_error: 2.46022385/4840 [=============>................] - ETA: 2s - loss: 10.4737 - mean_absolute_error: 2.46022434/4840 [==============>...............] - ETA: 2s - loss: 10.4780 - mean_absolute_error: 2.46132487/4840 [==============>...............] - ETA: 2s - loss: 10.4735 - mean_absolute_error: 2.46142540/4840 [==============>...............] - ETA: 2s - loss: 10.4790 - mean_absolute_error: 2.46212596/4840 [===============>..............] - ETA: 2s - loss: 10.4877 - mean_absolute_error: 2.46272653/4840 [===============>..............] - ETA: 2s - loss: 10.4890 - mean_absolute_error: 2.46272707/4840 [===============>..............] - ETA: 2s - loss: 10.4973 - mean_absolute_error: 2.46382763/4840 [================>.............] - 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mean_absolute_error: 2.46323379/4840 [===================>..........] - ETA: 1s - loss: 10.4994 - mean_absolute_error: 2.46283434/4840 [====================>.........] - ETA: 1s - loss: 10.4993 - mean_absolute_error: 2.46263491/4840 [====================>.........] - ETA: 1s - loss: 10.5012 - mean_absolute_error: 2.46283546/4840 [====================>.........] - ETA: 1s - loss: 10.5012 - mean_absolute_error: 2.46263604/4840 [=====================>........] - ETA: 1s - loss: 10.5001 - mean_absolute_error: 2.46213661/4840 [=====================>........] - ETA: 1s - loss: 10.5048 - mean_absolute_error: 2.46273715/4840 [======================>.......] - ETA: 1s - loss: 10.5099 - mean_absolute_error: 2.46323771/4840 [======================>.......] - ETA: 0s - loss: 10.5082 - mean_absolute_error: 2.46283826/4840 [======================>.......] - ETA: 0s - loss: 10.5097 - mean_absolute_error: 2.46323882/4840 [=======================>......] - ETA: 0s - loss: 10.5126 - mean_absolute_error: 2.46343938/4840 [=======================>......] - ETA: 0s - loss: 10.5193 - mean_absolute_error: 2.46413993/4840 [=======================>......] - ETA: 0s - loss: 10.5209 - mean_absolute_error: 2.46474045/4840 [========================>.....] - ETA: 0s - loss: 10.5229 - mean_absolute_error: 2.46504089/4840 [========================>.....] - ETA: 0s - loss: 10.5130 - mean_absolute_error: 2.46404144/4840 [========================>.....] - ETA: 0s - loss: 10.5047 - mean_absolute_error: 2.46274201/4840 [=========================>....] - ETA: 0s - loss: 10.4994 - mean_absolute_error: 2.46204257/4840 [=========================>....] - ETA: 0s - loss: 10.5052 - mean_absolute_error: 2.46314310/4840 [=========================>....] - ETA: 0s - loss: 10.4976 - mean_absolute_error: 2.46214361/4840 [==========================>...] - ETA: 0s - loss: 10.5017 - mean_absolute_error: 2.46274398/4840 [==========================>...] - ETA: 0s - loss: 10.5030 - mean_absolute_error: 2.46264448/4840 [==========================>...] - ETA: 0s - loss: 10.5092 - mean_absolute_error: 2.46324500/4840 [==========================>...] - ETA: 0s - loss: 10.5147 - mean_absolute_error: 2.46384546/4840 [===========================>..] - ETA: 0s - loss: 10.5167 - mean_absolute_error: 2.46444587/4840 [===========================>..] - ETA: 0s - loss: 10.5114 - mean_absolute_error: 2.46334630/4840 [===========================>..] - ETA: 0s - loss: 10.5103 - mean_absolute_error: 2.46314680/4840 [============================>.] - ETA: 0s - loss: 10.5018 - mean_absolute_error: 2.46184732/4840 [============================>.] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46184781/4840 [============================>.] - ETA: 0s - loss: 10.5028 - mean_absolute_error: 2.46164835/4840 [============================>.] - ETA: 0s - loss: 10.5021 - mean_absolute_error: 2.46134840/4840 [==============================] - 5s 994us/step - loss: 10.5028 - mean_absolute_error: 2.4614 - val_loss: 11.5048 - val_mean_absolute_error: 2.5811
Epoch 93/100
   1/4840 [..............................] - ETA: 4s - loss: 11.4214 - mean_absolute_error: 2.4087  56/4840 [..............................] - ETA: 4s - loss: 10.1846 - mean_absolute_error: 2.4318 112/4840 [..............................] - ETA: 4s - loss: 10.4674 - mean_absolute_error: 2.4632 169/4840 [>.............................] - ETA: 4s - loss: 10.2608 - mean_absolute_error: 2.4337 225/4840 [>.............................] - ETA: 4s - loss: 10.3398 - mean_absolute_error: 2.4423 280/4840 [>.............................] - ETA: 4s - loss: 10.2690 - mean_absolute_error: 2.4322 335/4840 [=>............................] - ETA: 4s - loss: 10.2766 - mean_absolute_error: 2.4369 391/4840 [=>............................] - ETA: 4s - loss: 10.3083 - mean_absolute_error: 2.4375 448/4840 [=>............................] - ETA: 3s - loss: 10.3194 - mean_absolute_error: 2.4415 500/4840 [==>...........................] - ETA: 3s - loss: 10.3755 - mean_absolute_error: 2.4475 553/4840 [==>...........................] - ETA: 3s - loss: 10.4833 - mean_absolute_error: 2.4605 606/4840 [==>...........................] - ETA: 3s - loss: 10.5006 - mean_absolute_error: 2.4625 663/4840 [===>..........................] - ETA: 3s - loss: 10.4917 - mean_absolute_error: 2.4628 721/4840 [===>..........................] - ETA: 3s - loss: 10.5122 - mean_absolute_error: 2.4661 779/4840 [===>..........................] - ETA: 3s - loss: 10.5284 - mean_absolute_error: 2.4681 836/4840 [====>.........................] - ETA: 3s - loss: 10.4959 - mean_absolute_error: 2.4635 887/4840 [====>.........................] - ETA: 3s - loss: 10.5010 - mean_absolute_error: 2.4648 938/4840 [====>.........................] - ETA: 3s - loss: 10.4878 - mean_absolute_error: 2.4638 992/4840 [=====>........................] - ETA: 3s - loss: 10.5083 - mean_absolute_error: 2.46661049/4840 [=====>........................] - ETA: 3s - loss: 10.5009 - mean_absolute_error: 2.46451106/4840 [=====>........................] - ETA: 3s - loss: 10.4696 - 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ETA: 0s - loss: 10.4675 - mean_absolute_error: 2.45703921/4840 [=======================>......] - ETA: 0s - loss: 10.4728 - mean_absolute_error: 2.45753979/4840 [=======================>......] - ETA: 0s - loss: 10.4673 - mean_absolute_error: 2.45694036/4840 [========================>.....] - ETA: 0s - loss: 10.4706 - mean_absolute_error: 2.45774094/4840 [========================>.....] - ETA: 0s - loss: 10.4788 - mean_absolute_error: 2.45864148/4840 [========================>.....] - ETA: 0s - loss: 10.4806 - mean_absolute_error: 2.45904206/4840 [=========================>....] - ETA: 0s - loss: 10.4833 - mean_absolute_error: 2.45924263/4840 [=========================>....] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.46034320/4840 [=========================>....] - ETA: 0s - loss: 10.4951 - mean_absolute_error: 2.46084377/4840 [==========================>...] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.46104436/4840 [==========================>...] - ETA: 0s - loss: 10.4947 - mean_absolute_error: 2.46064491/4840 [==========================>...] - ETA: 0s - loss: 10.4902 - mean_absolute_error: 2.46024539/4840 [===========================>..] - ETA: 0s - loss: 10.4929 - mean_absolute_error: 2.46034589/4840 [===========================>..] - ETA: 0s - loss: 10.4929 - mean_absolute_error: 2.46024643/4840 [===========================>..] - ETA: 0s - loss: 10.4985 - mean_absolute_error: 2.46084698/4840 [============================>.] - ETA: 0s - loss: 10.4987 - mean_absolute_error: 2.46094755/4840 [============================>.] - ETA: 0s - loss: 10.5085 - mean_absolute_error: 2.46184807/4840 [============================>.] - ETA: 0s - loss: 10.5077 - mean_absolute_error: 2.46164840/4840 [==============================] - 5s 989us/step - loss: 10.5033 - mean_absolute_error: 2.4613 - val_loss: 11.4997 - val_mean_absolute_error: 2.5808
Epoch 94/100
   1/4840 [..............................] - ETA: 9s - loss: 8.8786 - mean_absolute_error: 2.1673  52/4840 [..............................] - ETA: 4s - loss: 10.5343 - mean_absolute_error: 2.4567 103/4840 [..............................] - ETA: 4s - loss: 10.3433 - mean_absolute_error: 2.4312 159/4840 [..............................] - ETA: 4s - loss: 10.4001 - mean_absolute_error: 2.4461 215/4840 [>.............................] - ETA: 4s - loss: 10.3897 - mean_absolute_error: 2.4372 271/4840 [>.............................] - ETA: 4s - loss: 10.4090 - mean_absolute_error: 2.4398 325/4840 [=>............................] - ETA: 4s - loss: 10.3755 - mean_absolute_error: 2.4356 378/4840 [=>............................] - ETA: 4s - loss: 10.3877 - mean_absolute_error: 2.4385 433/4840 [=>............................] - ETA: 4s - loss: 10.2836 - mean_absolute_error: 2.4221 490/4840 [==>...........................] - ETA: 4s - loss: 10.3146 - mean_absolute_error: 2.4297 546/4840 [==>...........................] - ETA: 3s - loss: 10.2441 - mean_absolute_error: 2.4240 600/4840 [==>...........................] - ETA: 3s - loss: 10.2303 - mean_absolute_error: 2.4230 655/4840 [===>..........................] - ETA: 3s - loss: 10.2344 - mean_absolute_error: 2.4244 711/4840 [===>..........................] - ETA: 3s - loss: 10.2133 - mean_absolute_error: 2.4195 762/4840 [===>..........................] - ETA: 3s - loss: 10.2407 - mean_absolute_error: 2.4242 814/4840 [====>.........................] - ETA: 3s - loss: 10.2345 - mean_absolute_error: 2.4218 868/4840 [====>.........................] - ETA: 3s - loss: 10.2425 - mean_absolute_error: 2.4231 926/4840 [====>.........................] - ETA: 3s - loss: 10.2754 - mean_absolute_error: 2.4286 982/4840 [=====>........................] - ETA: 3s - loss: 10.2764 - mean_absolute_error: 2.43001039/4840 [=====>........................] - ETA: 3s - loss: 10.2779 - mean_absolute_error: 2.42941096/4840 [=====>........................] - ETA: 3s - loss: 10.2825 - 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mean_absolute_error: 2.45102318/4840 [=============>................] - ETA: 2s - loss: 10.4225 - mean_absolute_error: 2.45042375/4840 [=============>................] - ETA: 2s - loss: 10.4367 - mean_absolute_error: 2.45222432/4840 [==============>...............] - ETA: 2s - loss: 10.4301 - mean_absolute_error: 2.45142488/4840 [==============>...............] - ETA: 2s - loss: 10.4292 - mean_absolute_error: 2.45172545/4840 [==============>...............] - ETA: 2s - loss: 10.4307 - mean_absolute_error: 2.45172602/4840 [===============>..............] - ETA: 2s - loss: 10.4382 - mean_absolute_error: 2.45322657/4840 [===============>..............] - ETA: 1s - loss: 10.4527 - mean_absolute_error: 2.45512711/4840 [===============>..............] - ETA: 1s - loss: 10.4399 - mean_absolute_error: 2.45332762/4840 [================>.............] - ETA: 1s - loss: 10.4430 - mean_absolute_error: 2.45402815/4840 [================>.............] - ETA: 1s - loss: 10.4479 - mean_absolute_error: 2.45492869/4840 [================>.............] - 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mean_absolute_error: 2.45503484/4840 [====================>.........] - ETA: 1s - loss: 10.4434 - mean_absolute_error: 2.45423539/4840 [====================>.........] - ETA: 1s - loss: 10.4444 - mean_absolute_error: 2.45433592/4840 [=====================>........] - ETA: 1s - loss: 10.4535 - mean_absolute_error: 2.45523649/4840 [=====================>........] - ETA: 1s - loss: 10.4556 - mean_absolute_error: 2.45553706/4840 [=====================>........] - ETA: 1s - loss: 10.4565 - mean_absolute_error: 2.45583764/4840 [======================>.......] - ETA: 0s - loss: 10.4612 - mean_absolute_error: 2.45633822/4840 [======================>.......] - ETA: 0s - loss: 10.4644 - mean_absolute_error: 2.45633878/4840 [=======================>......] - ETA: 0s - loss: 10.4699 - mean_absolute_error: 2.45703936/4840 [=======================>......] - ETA: 0s - loss: 10.4764 - mean_absolute_error: 2.45783990/4840 [=======================>......] - ETA: 0s - loss: 10.4772 - mean_absolute_error: 2.45804042/4840 [========================>.....] - ETA: 0s - loss: 10.4669 - mean_absolute_error: 2.45694096/4840 [========================>.....] - ETA: 0s - loss: 10.4723 - mean_absolute_error: 2.45784151/4840 [========================>.....] - ETA: 0s - loss: 10.4714 - mean_absolute_error: 2.45774205/4840 [=========================>....] - ETA: 0s - loss: 10.4784 - mean_absolute_error: 2.45834263/4840 [=========================>....] - ETA: 0s - loss: 10.4868 - mean_absolute_error: 2.45924320/4840 [=========================>....] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46004378/4840 [==========================>...] - ETA: 0s - loss: 10.4975 - mean_absolute_error: 2.46024436/4840 [==========================>...] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.45994492/4840 [==========================>...] - ETA: 0s - loss: 10.4886 - mean_absolute_error: 2.45874545/4840 [===========================>..] - ETA: 0s - loss: 10.4834 - mean_absolute_error: 2.45804601/4840 [===========================>..] - ETA: 0s - loss: 10.4856 - mean_absolute_error: 2.45834658/4840 [===========================>..] - ETA: 0s - loss: 10.4955 - mean_absolute_error: 2.45954714/4840 [============================>.] - ETA: 0s - loss: 10.5095 - mean_absolute_error: 2.46114769/4840 [============================>.] - ETA: 0s - loss: 10.5043 - mean_absolute_error: 2.46064827/4840 [============================>.] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46044840/4840 [==============================] - 5s 956us/step - loss: 10.5029 - mean_absolute_error: 2.4607 - val_loss: 11.5006 - val_mean_absolute_error: 2.5811
Epoch 95/100
   1/4840 [..............................] - ETA: 9s - loss: 11.5832 - mean_absolute_error: 2.7144  56/4840 [..............................] - ETA: 4s - loss: 10.2957 - mean_absolute_error: 2.4263 113/4840 [..............................] - ETA: 4s - loss: 10.3527 - mean_absolute_error: 2.4395 171/4840 [>.............................] - ETA: 4s - loss: 10.5299 - mean_absolute_error: 2.4692 223/4840 [>.............................] - ETA: 4s - loss: 10.6156 - mean_absolute_error: 2.4755 279/4840 [>.............................] - ETA: 4s - loss: 10.5543 - mean_absolute_error: 2.4649 336/4840 [=>............................] - ETA: 4s - loss: 10.4884 - mean_absolute_error: 2.4584 394/4840 [=>............................] - ETA: 4s - loss: 10.5373 - mean_absolute_error: 2.4625 451/4840 [=>............................] - ETA: 3s - loss: 10.5842 - mean_absolute_error: 2.4673 507/4840 [==>...........................] - ETA: 3s - loss: 10.6236 - mean_absolute_error: 2.4735 564/4840 [==>...........................] - ETA: 3s - loss: 10.5404 - mean_absolute_error: 2.4642 622/4840 [==>...........................] - ETA: 3s - loss: 10.5369 - mean_absolute_error: 2.4637 677/4840 [===>..........................] - ETA: 3s - loss: 10.5650 - mean_absolute_error: 2.4677 734/4840 [===>..........................] - ETA: 3s - loss: 10.4980 - mean_absolute_error: 2.4599 790/4840 [===>..........................] - ETA: 3s - loss: 10.5099 - mean_absolute_error: 2.4613 846/4840 [====>.........................] - ETA: 3s - loss: 10.4926 - mean_absolute_error: 2.4597 902/4840 [====>.........................] - ETA: 3s - loss: 10.5077 - mean_absolute_error: 2.4604 959/4840 [====>.........................] - ETA: 3s - loss: 10.5169 - mean_absolute_error: 2.46141016/4840 [=====>........................] - ETA: 3s - loss: 10.4717 - mean_absolute_error: 2.45511073/4840 [=====>........................] - ETA: 3s - loss: 10.4720 - mean_absolute_error: 2.45451130/4840 [======>.......................] - ETA: 3s - loss: 10.5092 - mean_absolute_error: 2.45951184/4840 [======>.......................] - ETA: 3s - loss: 10.4894 - mean_absolute_error: 2.45721240/4840 [======>.......................] - ETA: 3s - loss: 10.5101 - mean_absolute_error: 2.46001297/4840 [=======>......................] - ETA: 3s - loss: 10.5289 - mean_absolute_error: 2.46251350/4840 [=======>......................] - ETA: 3s - loss: 10.5336 - mean_absolute_error: 2.46401406/4840 [=======>......................] - ETA: 3s - loss: 10.5478 - mean_absolute_error: 2.46551463/4840 [========>.....................] - ETA: 3s - loss: 10.5426 - mean_absolute_error: 2.46541519/4840 [========>.....................] - ETA: 2s - loss: 10.5398 - mean_absolute_error: 2.46601576/4840 [========>.....................] - ETA: 2s - loss: 10.5449 - mean_absolute_error: 2.46721634/4840 [=========>....................] - ETA: 2s - loss: 10.5714 - mean_absolute_error: 2.46991690/4840 [=========>....................] - ETA: 2s - loss: 10.5488 - mean_absolute_error: 2.46711748/4840 [=========>....................] - ETA: 2s - loss: 10.5370 - mean_absolute_error: 2.46621804/4840 [==========>...................] - ETA: 2s - loss: 10.5317 - mean_absolute_error: 2.46541861/4840 [==========>...................] - ETA: 2s - loss: 10.5236 - mean_absolute_error: 2.46511918/4840 [==========>...................] - ETA: 2s - loss: 10.5269 - mean_absolute_error: 2.46591973/4840 [===========>..................] - ETA: 2s - loss: 10.5264 - mean_absolute_error: 2.46582029/4840 [===========>..................] - ETA: 2s - loss: 10.5244 - mean_absolute_error: 2.46502086/4840 [===========>..................] - ETA: 2s - loss: 10.5190 - mean_absolute_error: 2.46432143/4840 [============>.................] - ETA: 2s - loss: 10.5116 - mean_absolute_error: 2.46322199/4840 [============>.................] - ETA: 2s - loss: 10.4994 - mean_absolute_error: 2.46132255/4840 [============>.................] - ETA: 2s - loss: 10.4986 - mean_absolute_error: 2.46122312/4840 [=============>................] - ETA: 2s - loss: 10.4957 - mean_absolute_error: 2.46082365/4840 [=============>................] - ETA: 2s - loss: 10.4979 - mean_absolute_error: 2.46122421/4840 [==============>...............] - ETA: 2s - loss: 10.4925 - mean_absolute_error: 2.46032477/4840 [==============>...............] - ETA: 2s - loss: 10.4999 - mean_absolute_error: 2.46132535/4840 [==============>...............] - ETA: 2s - loss: 10.5014 - mean_absolute_error: 2.46122590/4840 [===============>..............] - ETA: 2s - loss: 10.5080 - mean_absolute_error: 2.46232647/4840 [===============>..............] - ETA: 1s - loss: 10.5102 - mean_absolute_error: 2.46272704/4840 [===============>..............] - ETA: 1s - loss: 10.5116 - mean_absolute_error: 2.46262761/4840 [================>.............] - ETA: 1s - loss: 10.5129 - mean_absolute_error: 2.46312817/4840 [================>.............] - ETA: 1s - loss: 10.5052 - mean_absolute_error: 2.46202874/4840 [================>.............] - ETA: 1s - loss: 10.5098 - mean_absolute_error: 2.46242931/4840 [=================>............] - ETA: 1s - loss: 10.5001 - mean_absolute_error: 2.46082987/4840 [=================>............] - ETA: 1s - loss: 10.5057 - mean_absolute_error: 2.46163043/4840 [=================>............] - ETA: 1s - loss: 10.5201 - mean_absolute_error: 2.46363100/4840 [==================>...........] - ETA: 1s - loss: 10.5154 - mean_absolute_error: 2.46293155/4840 [==================>...........] - ETA: 1s - loss: 10.5015 - mean_absolute_error: 2.46173211/4840 [==================>...........] - ETA: 1s - loss: 10.5059 - mean_absolute_error: 2.46193267/4840 [===================>..........] - ETA: 1s - loss: 10.4998 - mean_absolute_error: 2.46113323/4840 [===================>..........] - ETA: 1s - loss: 10.5051 - mean_absolute_error: 2.46223380/4840 [===================>..........] - ETA: 1s - loss: 10.5000 - mean_absolute_error: 2.46113437/4840 [====================>.........] - ETA: 1s - loss: 10.4973 - mean_absolute_error: 2.46133493/4840 [====================>.........] - ETA: 1s - loss: 10.5062 - mean_absolute_error: 2.46263549/4840 [====================>.........] - ETA: 1s - loss: 10.5082 - mean_absolute_error: 2.46283602/4840 [=====================>........] - ETA: 1s - loss: 10.5099 - mean_absolute_error: 2.46263658/4840 [=====================>........] - ETA: 1s - loss: 10.5047 - mean_absolute_error: 2.46243714/4840 [======================>.......] - ETA: 1s - loss: 10.5073 - mean_absolute_error: 2.46283770/4840 [======================>.......] - ETA: 0s - loss: 10.5053 - mean_absolute_error: 2.46233828/4840 [======================>.......] - ETA: 0s - loss: 10.4993 - mean_absolute_error: 2.46153884/4840 [=======================>......] - ETA: 0s - loss: 10.4944 - mean_absolute_error: 2.46093941/4840 [=======================>......] - ETA: 0s - loss: 10.4977 - mean_absolute_error: 2.46123998/4840 [=======================>......] - ETA: 0s - loss: 10.4974 - mean_absolute_error: 2.46124052/4840 [========================>.....] - ETA: 0s - loss: 10.4930 - mean_absolute_error: 2.46094110/4840 [========================>.....] - ETA: 0s - loss: 10.4926 - mean_absolute_error: 2.46064166/4840 [========================>.....] - ETA: 0s - loss: 10.5034 - mean_absolute_error: 2.46224223/4840 [=========================>....] - ETA: 0s - loss: 10.5000 - mean_absolute_error: 2.46164279/4840 [=========================>....] - ETA: 0s - loss: 10.4941 - mean_absolute_error: 2.46084336/4840 [=========================>....] - ETA: 0s - loss: 10.4972 - mean_absolute_error: 2.46124393/4840 [==========================>...] - ETA: 0s - loss: 10.4960 - mean_absolute_error: 2.46094448/4840 [==========================>...] - ETA: 0s - loss: 10.4976 - mean_absolute_error: 2.46124505/4840 [==========================>...] - ETA: 0s - loss: 10.4999 - mean_absolute_error: 2.46134562/4840 [===========================>..] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46144619/4840 [===========================>..] - ETA: 0s - loss: 10.5078 - mean_absolute_error: 2.46254674/4840 [===========================>..] - ETA: 0s - loss: 10.4996 - mean_absolute_error: 2.46154730/4840 [============================>.] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46234787/4840 [============================>.] - ETA: 0s - loss: 10.5025 - mean_absolute_error: 2.46214840/4840 [==============================] - 5s 938us/step - loss: 10.5029 - mean_absolute_error: 2.4621 - val_loss: 11.5046 - val_mean_absolute_error: 2.5810
Epoch 96/100
   1/4840 [..............................] - ETA: 9s - loss: 9.6248 - mean_absolute_error: 2.4005  59/4840 [..............................] - ETA: 4s - loss: 10.3030 - mean_absolute_error: 2.4688 116/4840 [..............................] - ETA: 4s - loss: 10.2894 - mean_absolute_error: 2.4584 173/4840 [>.............................] - ETA: 4s - loss: 10.2904 - mean_absolute_error: 2.4548 231/4840 [>.............................] - ETA: 4s - loss: 10.2142 - mean_absolute_error: 2.4357 288/4840 [>.............................] - ETA: 4s - loss: 10.2306 - mean_absolute_error: 2.4301 345/4840 [=>............................] - ETA: 3s - loss: 10.2601 - mean_absolute_error: 2.4342 401/4840 [=>............................] - ETA: 3s - loss: 10.2680 - mean_absolute_error: 2.4327 437/4840 [=>............................] - ETA: 4s - loss: 10.2595 - mean_absolute_error: 2.4297 484/4840 [==>...........................] - ETA: 4s - loss: 10.2947 - mean_absolute_error: 2.4350 542/4840 [==>...........................] - ETA: 4s - loss: 10.2913 - mean_absolute_error: 2.4346 600/4840 [==>...........................] - ETA: 3s - loss: 10.3181 - mean_absolute_error: 2.4396 655/4840 [===>..........................] - ETA: 3s - loss: 10.3531 - mean_absolute_error: 2.4435 711/4840 [===>..........................] - ETA: 3s - loss: 10.3795 - mean_absolute_error: 2.4470 768/4840 [===>..........................] - ETA: 3s - loss: 10.3911 - mean_absolute_error: 2.4497 824/4840 [====>.........................] - ETA: 3s - loss: 10.4106 - mean_absolute_error: 2.4509 882/4840 [====>.........................] - ETA: 3s - loss: 10.4119 - mean_absolute_error: 2.4504 938/4840 [====>.........................] - ETA: 3s - loss: 10.4016 - mean_absolute_error: 2.4475 996/4840 [=====>........................] - ETA: 3s - loss: 10.4348 - mean_absolute_error: 2.45231053/4840 [=====>........................] - ETA: 3s - loss: 10.4193 - mean_absolute_error: 2.44941110/4840 [=====>........................] - ETA: 3s - loss: 10.4449 - mean_absolute_error: 2.45261167/4840 [======>.......................] - ETA: 3s - loss: 10.4513 - mean_absolute_error: 2.45471225/4840 [======>.......................] - ETA: 3s - loss: 10.4356 - mean_absolute_error: 2.45201282/4840 [======>.......................] - ETA: 3s - loss: 10.4391 - mean_absolute_error: 2.45221339/4840 [=======>......................] - ETA: 3s - loss: 10.4204 - mean_absolute_error: 2.45001396/4840 [=======>......................] - ETA: 3s - loss: 10.4366 - mean_absolute_error: 2.45401452/4840 [========>.....................] - ETA: 3s - loss: 10.4435 - mean_absolute_error: 2.45401508/4840 [========>.....................] - ETA: 3s - loss: 10.4545 - mean_absolute_error: 2.45571564/4840 [========>.....................] - ETA: 2s - loss: 10.4793 - mean_absolute_error: 2.45921618/4840 [=========>....................] - ETA: 2s - loss: 10.4820 - mean_absolute_error: 2.45841675/4840 [=========>....................] - ETA: 2s - loss: 10.5023 - mean_absolute_error: 2.46141732/4840 [=========>....................] - ETA: 2s - loss: 10.5190 - mean_absolute_error: 2.46351790/4840 [==========>...................] - ETA: 2s - loss: 10.5094 - mean_absolute_error: 2.46181845/4840 [==========>...................] - ETA: 2s - loss: 10.5015 - mean_absolute_error: 2.46141903/4840 [==========>...................] - ETA: 2s - loss: 10.4882 - mean_absolute_error: 2.45991960/4840 [===========>..................] - ETA: 2s - loss: 10.4792 - mean_absolute_error: 2.45872018/4840 [===========>..................] - ETA: 2s - loss: 10.4605 - mean_absolute_error: 2.45642074/4840 [===========>..................] - ETA: 2s - loss: 10.4560 - mean_absolute_error: 2.45542130/4840 [============>.................] - ETA: 2s - loss: 10.4582 - mean_absolute_error: 2.45542187/4840 [============>.................] - ETA: 2s - loss: 10.4461 - mean_absolute_error: 2.45462245/4840 [============>.................] - ETA: 2s - loss: 10.4434 - mean_absolute_error: 2.45432302/4840 [=============>................] - ETA: 2s - loss: 10.4657 - 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mean_absolute_error: 2.45783553/4840 [=====================>........] - ETA: 1s - loss: 10.4872 - mean_absolute_error: 2.45803610/4840 [=====================>........] - ETA: 1s - loss: 10.4792 - mean_absolute_error: 2.45693666/4840 [=====================>........] - ETA: 1s - loss: 10.4894 - mean_absolute_error: 2.45813723/4840 [======================>.......] - ETA: 1s - loss: 10.4910 - mean_absolute_error: 2.45823779/4840 [======================>.......] - ETA: 0s - loss: 10.4910 - mean_absolute_error: 2.45813834/4840 [======================>.......] - ETA: 0s - loss: 10.4891 - mean_absolute_error: 2.45813890/4840 [=======================>......] - ETA: 0s - loss: 10.4851 - mean_absolute_error: 2.45783947/4840 [=======================>......] - ETA: 0s - loss: 10.4878 - mean_absolute_error: 2.45824005/4840 [=======================>......] - ETA: 0s - loss: 10.4869 - mean_absolute_error: 2.45814061/4840 [========================>.....] - ETA: 0s - loss: 10.4938 - mean_absolute_error: 2.45924118/4840 [========================>.....] - ETA: 0s - loss: 10.4908 - mean_absolute_error: 2.45934174/4840 [========================>.....] - ETA: 0s - loss: 10.4990 - mean_absolute_error: 2.46034228/4840 [=========================>....] - ETA: 0s - loss: 10.4939 - mean_absolute_error: 2.45954283/4840 [=========================>....] - ETA: 0s - loss: 10.4968 - mean_absolute_error: 2.45974339/4840 [=========================>....] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.45974395/4840 [==========================>...] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46064451/4840 [==========================>...] - ETA: 0s - loss: 10.5070 - mean_absolute_error: 2.46054507/4840 [==========================>...] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46064564/4840 [===========================>..] - ETA: 0s - loss: 10.5050 - mean_absolute_error: 2.46064621/4840 [===========================>..] - ETA: 0s - loss: 10.5071 - mean_absolute_error: 2.46094678/4840 [===========================>..] - ETA: 0s - loss: 10.5056 - mean_absolute_error: 2.46064736/4840 [============================>.] - ETA: 0s - loss: 10.5045 - mean_absolute_error: 2.46084793/4840 [============================>.] - ETA: 0s - loss: 10.5020 - mean_absolute_error: 2.46054840/4840 [==============================] - 5s 938us/step - loss: 10.5031 - mean_absolute_error: 2.4609 - val_loss: 11.5034 - val_mean_absolute_error: 2.5809
Epoch 97/100
   1/4840 [..............................] - ETA: 4s - loss: 7.9443 - mean_absolute_error: 2.1319  58/4840 [..............................] - ETA: 4s - loss: 10.3110 - mean_absolute_error: 2.4561 116/4840 [..............................] - ETA: 4s - loss: 10.2908 - mean_absolute_error: 2.4432 173/4840 [>.............................] - ETA: 4s - loss: 10.3528 - mean_absolute_error: 2.4449 228/4840 [>.............................] - ETA: 4s - loss: 10.4128 - mean_absolute_error: 2.4549 285/4840 [>.............................] - ETA: 4s - loss: 10.3479 - mean_absolute_error: 2.4485 341/4840 [=>............................] - ETA: 3s - loss: 10.3522 - mean_absolute_error: 2.4507 399/4840 [=>............................] - ETA: 3s - loss: 10.3629 - mean_absolute_error: 2.4521 455/4840 [=>............................] - ETA: 3s - loss: 10.3980 - mean_absolute_error: 2.4535 511/4840 [==>...........................] - ETA: 3s - loss: 10.4217 - mean_absolute_error: 2.4568 568/4840 [==>...........................] - 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ETA: 2s - loss: 10.4176 - mean_absolute_error: 2.45431790/4840 [==========>...................] - ETA: 2s - loss: 10.4308 - mean_absolute_error: 2.45541847/4840 [==========>...................] - ETA: 2s - loss: 10.4330 - mean_absolute_error: 2.45661905/4840 [==========>...................] - ETA: 2s - loss: 10.4571 - mean_absolute_error: 2.45941961/4840 [===========>..................] - ETA: 2s - loss: 10.4483 - mean_absolute_error: 2.45862018/4840 [===========>..................] - ETA: 2s - loss: 10.4306 - mean_absolute_error: 2.45652067/4840 [===========>..................] - ETA: 2s - loss: 10.4202 - mean_absolute_error: 2.45492109/4840 [============>.................] - ETA: 2s - loss: 10.4122 - mean_absolute_error: 2.45372160/4840 [============>.................] - ETA: 2s - loss: 10.4147 - mean_absolute_error: 2.45392217/4840 [============>.................] - ETA: 2s - loss: 10.4435 - mean_absolute_error: 2.45632275/4840 [=============>................] - ETA: 2s - loss: 10.4367 - 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ETA: 1s - loss: 10.4179 - mean_absolute_error: 2.45112932/4840 [=================>............] - ETA: 1s - loss: 10.4118 - mean_absolute_error: 2.45032989/4840 [=================>............] - ETA: 1s - loss: 10.4143 - mean_absolute_error: 2.45043044/4840 [=================>............] - ETA: 1s - loss: 10.4242 - mean_absolute_error: 2.45173098/4840 [==================>...........] - ETA: 1s - loss: 10.4492 - mean_absolute_error: 2.45473154/4840 [==================>...........] - ETA: 1s - loss: 10.4556 - mean_absolute_error: 2.45553208/4840 [==================>...........] - ETA: 1s - loss: 10.4720 - mean_absolute_error: 2.45743265/4840 [===================>..........] - ETA: 1s - loss: 10.4637 - mean_absolute_error: 2.45633321/4840 [===================>..........] - ETA: 1s - loss: 10.4637 - mean_absolute_error: 2.45633379/4840 [===================>..........] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45583436/4840 [====================>.........] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45573493/4840 [====================>.........] - ETA: 1s - loss: 10.4561 - mean_absolute_error: 2.45503546/4840 [====================>.........] - ETA: 1s - loss: 10.4617 - mean_absolute_error: 2.45553585/4840 [=====================>........] - ETA: 1s - loss: 10.4648 - mean_absolute_error: 2.45603638/4840 [=====================>........] - ETA: 1s - loss: 10.4659 - mean_absolute_error: 2.45603696/4840 [=====================>........] - ETA: 1s - loss: 10.4602 - mean_absolute_error: 2.45583753/4840 [======================>.......] - ETA: 0s - loss: 10.4604 - mean_absolute_error: 2.45563810/4840 [======================>.......] - ETA: 0s - loss: 10.4709 - mean_absolute_error: 2.45693866/4840 [======================>.......] - ETA: 0s - loss: 10.4700 - mean_absolute_error: 2.45653922/4840 [=======================>......] - ETA: 0s - loss: 10.4639 - mean_absolute_error: 2.45563979/4840 [=======================>......] - ETA: 0s - loss: 10.4621 - mean_absolute_error: 2.45554030/4840 [=======================>......] - 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mean_absolute_error: 2.45874656/4840 [===========================>..] - ETA: 0s - loss: 10.4957 - mean_absolute_error: 2.45944710/4840 [============================>.] - ETA: 0s - loss: 10.5007 - mean_absolute_error: 2.46024764/4840 [============================>.] - ETA: 0s - loss: 10.5016 - mean_absolute_error: 2.46044821/4840 [============================>.] - ETA: 0s - loss: 10.5037 - mean_absolute_error: 2.46054840/4840 [==============================] - 5s 952us/step - loss: 10.5034 - mean_absolute_error: 2.4605 - val_loss: 11.5034 - val_mean_absolute_error: 2.5812
Epoch 98/100
   1/4840 [..............................] - ETA: 6s - loss: 14.4106 - mean_absolute_error: 3.0253  57/4840 [..............................] - ETA: 4s - loss: 10.0291 - mean_absolute_error: 2.4231 113/4840 [..............................] - ETA: 4s - loss: 10.1953 - mean_absolute_error: 2.4270 170/4840 [>.............................] - ETA: 4s - loss: 10.3959 - mean_absolute_error: 2.4491 225/4840 [>.............................] - ETA: 4s - loss: 10.3699 - mean_absolute_error: 2.4432 281/4840 [>.............................] - ETA: 4s - loss: 10.5081 - mean_absolute_error: 2.4583 335/4840 [=>............................] - ETA: 4s - loss: 10.4455 - mean_absolute_error: 2.4515 393/4840 [=>............................] - ETA: 4s - loss: 10.4027 - mean_absolute_error: 2.4470 450/4840 [=>............................] - ETA: 3s - loss: 10.3671 - mean_absolute_error: 2.4403 508/4840 [==>...........................] - ETA: 3s - loss: 10.3781 - mean_absolute_error: 2.4424 562/4840 [==>...........................] - ETA: 3s - loss: 10.3600 - mean_absolute_error: 2.4418 618/4840 [==>...........................] - ETA: 3s - loss: 10.3524 - mean_absolute_error: 2.4419 675/4840 [===>..........................] - ETA: 3s - loss: 10.3544 - mean_absolute_error: 2.4443 732/4840 [===>..........................] - ETA: 3s - loss: 10.4132 - mean_absolute_error: 2.4505 788/4840 [===>..........................] - ETA: 3s - loss: 10.4035 - mean_absolute_error: 2.4493 844/4840 [====>.........................] - ETA: 3s - loss: 10.4370 - mean_absolute_error: 2.4534 900/4840 [====>.........................] - ETA: 3s - loss: 10.4126 - mean_absolute_error: 2.4479 958/4840 [====>.........................] - ETA: 3s - loss: 10.4508 - mean_absolute_error: 2.45431015/4840 [=====>........................] - ETA: 3s - loss: 10.5002 - mean_absolute_error: 2.46171074/4840 [=====>........................] - ETA: 3s - loss: 10.5023 - mean_absolute_error: 2.46221130/4840 [======>.......................] - ETA: 3s - loss: 10.5038 - 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mean_absolute_error: 2.46104715/4840 [============================>.] - ETA: 0s - loss: 10.4981 - mean_absolute_error: 2.46104768/4840 [============================>.] - ETA: 0s - loss: 10.4959 - mean_absolute_error: 2.46074824/4840 [============================>.] - ETA: 0s - loss: 10.5059 - mean_absolute_error: 2.46174840/4840 [==============================] - 5s 945us/step - loss: 10.5029 - mean_absolute_error: 2.4613 - val_loss: 11.5067 - val_mean_absolute_error: 2.5809
Epoch 99/100
   1/4840 [..............................] - ETA: 9s - loss: 9.7341 - mean_absolute_error: 2.2726  52/4840 [..............................] - ETA: 4s - loss: 10.0119 - mean_absolute_error: 2.4096 101/4840 [..............................] - ETA: 4s - loss: 10.1970 - mean_absolute_error: 2.4124 142/4840 [..............................] - ETA: 5s - loss: 10.0989 - mean_absolute_error: 2.4053 187/4840 [>.............................] - ETA: 5s - loss: 10.3950 - mean_absolute_error: 2.4426 232/4840 [>.............................] - ETA: 5s - loss: 10.3732 - mean_absolute_error: 2.4470 280/4840 [>.............................] - ETA: 4s - loss: 10.3930 - mean_absolute_error: 2.4527 330/4840 [=>............................] - ETA: 4s - loss: 10.4179 - mean_absolute_error: 2.4546 373/4840 [=>............................] - ETA: 4s - loss: 10.4293 - mean_absolute_error: 2.4529 423/4840 [=>............................] - ETA: 4s - loss: 10.3681 - mean_absolute_error: 2.4469 477/4840 [=>............................] - 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mean_absolute_error: 2.45964637/4840 [===========================>..] - ETA: 0s - loss: 10.4973 - mean_absolute_error: 2.45944695/4840 [============================>.] - ETA: 0s - loss: 10.4862 - mean_absolute_error: 2.45774752/4840 [============================>.] - ETA: 0s - loss: 10.4866 - mean_absolute_error: 2.45814808/4840 [============================>.] - ETA: 0s - loss: 10.4962 - mean_absolute_error: 2.45944840/4840 [==============================] - 5s 954us/step - loss: 10.5034 - mean_absolute_error: 2.4603 - val_loss: 11.5048 - val_mean_absolute_error: 2.5813
Epoch 100/100
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mean_absolute_error: 2.45924700/4840 [============================>.] - ETA: 0s - loss: 10.4971 - mean_absolute_error: 2.46004759/4840 [============================>.] - ETA: 0s - loss: 10.5011 - mean_absolute_error: 2.46064816/4840 [============================>.] - ETA: 0s - loss: 10.4978 - mean_absolute_error: 2.46024840/4840 [==============================] - 5s 944us/step - loss: 10.5035 - mean_absolute_error: 2.4609 - val_loss: 11.5061 - val_mean_absolute_error: 2.5810

To measure the change in the mean_absolute_error statistic within my epochs (or run through the datasets) during the attempt to fit the Machine Learning model above as they were being completed, I made a line-graph visualization to see the fluctuation in the error as shown below.

```{python}
# Plot the Validation Mean Absolute Error throughout the fitting of the model across epochs
pd.Series(book_rec_history.history["val_loss"][15:]).plot(logy=False, color="gold")
plt.xlabel("Epoch")
plt.ylabel("Validation Error")
plt.title("Change in Validation Mean Absolute Error Across Epochs")
plt.show()

print("Minimum MSE:", min(book_rec_history.history["val_loss"]))
```

Minimum MSE: 11.459834098815918

With the Machine Learning model fitted, it would be a good time to evaluate the effectiveness of my model. Thus, I will calculate metrics (as shown below) such as Precision Score, ROC-AUC (Receiver Operating Characteristic (Curve) - Area Under the Curve) Score, F1 Score, Recall Score, and the Confusion Matrix. For the classification metrics, I applied a threshold rating of 5.0 or above to indicate as an acceptable rating to recommend a book, based on the logic that there would be more positive than negative reviews for that book-title, on average. All of the calcuations are shown in the following code snippet as well as its corresponding visualizations.

```{python}
predicted_ratings = model.predict(x=(X_test["New-User-ID"], X_test["New-ISBN"])).flatten()

book_rec_history_model_loss, book_rec_history_model_accuracy = model.evaluate(x=(X_test["New-User-ID"], X_test["New-ISBN"]), y=X_test["Book-Rating"])
book_rec_history_model_accuracy /= 10

# Threshold the predicted ratings to binary-classified recommendations (e.g., using a threshold of >= 5 for recommending book)
threshold = 5
predicted_labels_bin_classify = (predicted_ratings.copy() >= threshold).astype(int)
actual_labels_bin_classify = (X_test["Book-Rating"].copy() >= threshold).astype(int)

actual_ratings_int = predicted_labels_bin_classify.copy().astype(int)
predicted_ratings_int = actual_labels_bin_classify.copy().astype(int)
clf_report = pd.DataFrame(classification_report(y_true=actual_ratings_int, y_pred=predicted_ratings_int, output_dict=True, zero_division=0))

y_test_book_rating = predicted_labels_bin_classify
y_pred_book_rating = actual_labels_bin_classify

avg_precision_score = average_precision_score(y_true=actual_labels_bin_classify, y_score=predicted_labels_bin_classify)

# Compute and output statistics for Average Precision, Accuracy, and ROC AUC Scores as well as the Classifcation Report
print(f"Average Precision Score (When Compared to Test Set): {avg_precision_score * 100:.2f}%")
print("_______________________________________________")
print(f"Accuracy Score (When Compared to Test Set): {book_rec_history_model_accuracy * 100:.2f}%)")
print("_______________________________________________")
print(f"ROC AUC Score: {roc_auc_score(y_test_book_rating, y_pred_book_rating) * 100:.2f}%")
print("_______________________________________________")
print(f"CLASSIFICATION REPORT:\n{clf_report}")

# Calculate and output Precision, Recall, F1-Score, and Confusion Matrix
precision, recall, f1_score, _ = precision_recall_fscore_support(y_true=actual_labels_bin_classify, y_pred=predicted_labels_bin_classify, average='binary')
model_performance_metrics: [str] = ["Precision", "Recall", "F1_Score"]
model_performance_metrics_values: [float] = [precision, recall, f1_score]
print("_______________________________________________")
print(f"Precision Score: {precision * 100:.2f}%")
print("_______________________________________________")
print(f"Recall Score: {recall * 100:.2f}%")
print("_______________________________________________")
print(f"F1 Score: {f1_score * 100:.2f}%")
print("_______________________________________________")
print(f"Confusion Matrix:\n{confusion_matrix(y_test_book_rating, y_pred_book_rating)}")

plt.figure(figsize=(10, 8))
plt.bar(model_performance_metrics, model_performance_metrics_values, color=["blue", "green", "orange"])
plt.xlabel("Metrics")
plt.ylabel("Score")
plt.title("Recommendation Model Evaluation Metrics")
plt.show()

# Create the confusion matrix
conf_matrix = confusion_matrix(y_test_book_rating, y_pred_book_rating)

# Plot the confusion matrix
plt.figure(figsize=(10, 8))
sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues')
plt.xlabel('Predicted Label')
plt.ylabel('Actual Label')
plt.title('Confusion Matrix')
plt.show()
```
  1/269 [..............................] - ETA: 20s 72/269 [=======>......................] - ETA: 0s 145/269 [===============>..............] - ETA: 0s215/269 [======================>.......] - ETA: 0s269/269 [==============================] - 0s 703us/step
  1/269 [..............................] - ETA: 4s - loss: 9.2426 - mean_absolute_error: 2.3243 65/269 [======>.......................] - ETA: 0s - loss: 10.8559 - mean_absolute_error: 2.5048133/269 [=============>................] - ETA: 0s - loss: 11.1922 - mean_absolute_error: 2.5417201/269 [=====================>........] - ETA: 0s - loss: 11.4724 - mean_absolute_error: 2.5762269/269 [==============================] - ETA: 0s - loss: 11.4746 - mean_absolute_error: 2.5751269/269 [==============================] - 0s 755us/step - loss: 11.4746 - mean_absolute_error: 2.5751
Average Precision Score (When Compared to Test Set): 39.57%
_______________________________________________
Accuracy Score (When Compared to Test Set): 25.75%)
_______________________________________________
ROC AUC Score: 72.14%
_______________________________________________
CLASSIFICATION REPORT:
                     0           1  accuracy    macro avg  weighted avg
precision     0.952012    0.254724  0.746165     0.603368      0.875994
recall        0.753065    0.689765  0.746165     0.721415      0.746165
f1-score      0.840932    0.372053  0.746165     0.606493      0.789815
support    7666.000000  938.000000  0.746165  8604.000000   8604.000000
_______________________________________________
Precision Score: 68.98%
_______________________________________________
Recall Score: 25.47%
_______________________________________________
F1 Score: 37.21%
_______________________________________________
Confusion Matrix:
[[5773 1893]
 [ 291  647]]

Conclusions

  • Based on the Accuracy Score at 25.75%, Precision Score at 68.86%, and Recall Score at 25.51%, I found that my simple Book Recommendation Machine Learning model was not as good as I hoped in utilzing the train and validation datasets to fit my model in order to evaluate with my testing dataset. Looking at back my steps / approach, I realize that I may have overfitted by a great amount by training my Machine Learning model above approximately 10-15 epochs. When looking closely at the Change in Validation Mean Absolute Error Across Epochs Visualization, the validation error (i.e. the validation loss) was at its lowest in this duration and only went up from there in subsequent epoch training iterations. I would most likely re-train the model if I did this blog post project again.

  • Utimately, I learned a great deal from this blog post as I now better understand how basic Input/Embeddings/Output from Tensorflow works in the topic of neural networks in Machine Learning. Of course, seeing the real life implications of recommendation systems like this (but scaled up on a much higher, economic level) makes me appreciate the complexity of this disclipine and ML-subfield because reaching the end of this blog post was nonetheless difficult for my basic implementation. I cannot imagine what it must be like to have to maintain larger, production-critical systems that tackle these problems on a daily basis.

Reference Sources and Citations (IEEE Format)

To complete this blog post, I used the following online sources as references for developing this:

[1] Book Recommendation Dataset:

  • Möbius, “Book Recommendation Dataset”, Apr.-2023. [Online]. Available: https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset. [Accessed: 25-Sep.-2023].

[2] Tutorial on Basics of Machine Learning Recommendation Systems:

  • M. Ahammad, “Movie Recommender Systems Using Neural Network,” 2020. [Online]. Available: https://www.kaggle.com/code/mejbahahammad/movie-recommender-systems-using-neural-network. [Accessed: 25-Sep.-2023].

[3] Tutorial on Sample Visualizations for Machine Learning Recommendation Systems:

  • Great Learning Team, “Excerpts From a Masterclass on Movie Recommendation System,” 22-Aug.-2022. Available: https://www.mygreatlearning.com/blog/masterclass-on-movie-recommendation-system/. [Accessed: 26-Sep.2023].

[4] Tutorial on Evaluating Machine Learning Recommendation Systems:

  • A. Johannsdottir, “Implementing Your Own Recommmender Systems in Python”, 28-Nov.-2019. Available: https://www.cambridgespark.com/info/recommender-systems-in-python. [Accessed: 27-Sep.2023].

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MIT License Copyright (c) [2023] [Andrew H. Tran] Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.